Susanne Ditlevsen


Photo by Lars Svankjær

President of the Royal Danish Academy of Sciences and Letters. Professor, Department of Mathematical Sciences, University of Copenhagen. Part of the Section Statistics and Probability Theory. Part of Data Science Laboratory.

MSc in mathematics in 1999 from la Universidad Nacional de Educacion a Distancia, Spain. MSc in statistics in 2000 from Department of Mathematical Sciences and PhD in biostatistics in 2005 from Department of Biostatistics, University of Copenhagen. Project-financed statistician 2000-2001, PhD student 2001-2004, Assistant Professor 2004-2007 and Associate Professor from February 2007 at the same place. Moved in September 2007 to the Department of Mathematical Sciences, as full professor from July 2011.

ORCID record

Research interests

Statistical inference for stochastic processes. Nonlinear dynamics. Biostatistics. Statistical ecology, in particular marine mammals in the Arctic. Climate changes and tipping points. Mathematical modeling of physiological systems. Neuronal modelling.

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Upcoming events in which I am involved

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Inference in Stochastic Differential Equations (Master level. Autumn 2023, blok 2).

Regression (Master level. Autumn 2023, blok 1) and Regression for Actuaries (RegAct) (Bachelor level. Autumn 2023, blok 1).

Bachelor projects in Applied Statistics (Spring 2023, blok 3+4).

Bachelor projects in Applied Statistics (Autumn 2022, blok 1+2).

Seminar in statistics (Master level. Autumn 2022, blok 1).

Regression (Master level. Autumn 2022, blok 1) and Regression for Actuaries (RegAct) (Bachelor level. Autumn 2022, blok 1).

Bachelor projects in Applied Statistics (Spring 2022, blok 3+4).

Bachelor projects in Applied Statistics (Spring 2021, blok 1+2).

Regression (Master level. Autumn 2021, blok 1).

Bachelor projects in Applied Statistics (Spring 2021, blok 3+4).

Regression (Master level. Spring 2021, blok 3).

Bachelor projects in Applied Statistics (Fall 2020, blok 1+2).

Regression (Master level. Spring 2020, blok 3).

Stokastiske processer (Bachelor level. Fall 2019, blok 2).

Regression (Master level. Spring 2019, blok 3).

Stokastiske processer (Bachelor level. Fall 2018, blok 2).

Regression (Master level. Spring 2018, blok 3).

Stokastiske processer (Bachelor level. Fall 2017, blok 2).

Regression (Master level. Spring 2017, blok 3).

Stokastiske processer (Bachelor level. Fall 2016, blok 2).

Statistik 2 (Bachelor level. Spring 2016, blok 4).

Statistik 2 (Bachelor level. Spring 2015, blok 4).

Stokastiske processer (Bachelor level. Fall 2014, blok 2).

Statistik 2 (Bachelor level. Spring 2014, blok 4).

Hidden Markov Models (Master and PhD level. Fall 2013, blok 2) .

Statistical methods for stochastic differential equation models (Master and PhD level. Fall 2012, blok 2) .

Statistik 2 (Bachelor level. Spring 2013, blok 4).

Discrete models (Graduate level. Fall 2011, blok 1).

Stochastic Models in Biology (Master level. Fall 2010, blok 1).

Statistical methods for diffusion models (Master level. Spring 2010, blok 3) .

Stochastic Processes (Bachelor level. Spring 2009, blok 4).

Modeling of physiological systems (Medicine & Technology), autumn 2009.

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Past events in which I was involved

PhD course: Statistics on thin ice. An interdisciplinary course on Statistics, Arctic Ecology and Statistical Ecology, Arctic Station, Disko Island, Greenland, May 1 - 16, 2023

2022 IMS International Conference on Statistics and Data Science (ICSDS), December 13-16, 2022, Florence, Italy (member Program Committee)

Mathematical modeling and statistical analysis in neuroscience, Institut Henri Poincare, Paris, January 31 - February 4, 2022

The 5th International Conference on Mathematical NeuroScience (ICMNS), Copenhagen, June 24-26, 2019 (Chair).

Oscillations, Transients and Fluctuations in Complex Networks (OTFCN), July 1-3, 2019, in Copenhagen, Denmark

Statistics in Complex Systems, Copenhagen, April 11 - 13, 2018. Symposium organized under the auspices of The Royal Danish Academy of Sciences and Letters.

The 4th International Conference on Mathematical NeuroScience (ICMNS), Juan-les-Pins, France , June 10 - 13, 2018 (Co-chair).

Summer school/PhD course in Mathematical Neuroscience, Svaneke, Bornholm, Denmark, June 26 - 30, 2017

Workshop: Brain Dynamics and Statistics: Simulation versus Data, BIRS, Banff, Canada, February 26 - March 3, 2017

The 2nd International Conference on Mathematical NeuroScience (ICMNS), Juan-les-Pins, France , May 29 - June 2, 2016 (Programme Committee)

European Conference of Mathematical and Theoretical Biology, Nottingham, UK, July 2016 (Programme Committee)

Mini-symposium in Biomathematics, Copenhagen, Denmark, October 22, 2015.

Twoday meeting, Danish Society for Theoretical Statistics, 19-20 May 2015

The 30th European Meeting of Statisticians Amsterdam (Nederlands), July 2015 (Programme Committee)

PhD Course on State space models and particle methods. The course took place at University of Copenhagen, April 13-17, 2015. See also the PhD school course data base at University of Copenhagen.

Workshop: Rythms in Complex Networks: From Theory to Experiment. It took place in Copenhagen, September 1-3, 2014.

Workshop on mathematical modeling and statistical analysis in neuroscience. It took place in Copenhagen, July 2-4, 2014. Here is a group picture.

PhD Course on MCMC in Statistics. The course took place at University of Copenhagen, September 17-20, 2013. See also University of Copenhagen course catalog.

DYNSTOCH 2013. International Conference "Statistical Methods For Dynamical Stochastic Models", University of Copenhagen, April 17-19, 2013.

Statistics meeting between Centre for Mathematical Sciences at Lund University, research group Statistics and Probability Theory at Department of Mathematical Sciences, and Department of Biostatistics at University of Copenhagen. Copenhagen, April 11, 2012.

Oberwolfach Seminars: Statistics for Stochastic Differential Equations, Mathematisches Forschungsinstitut Oberwolfach, October 16-22, 2011 . Organisers: Susanne Ditlevsen (Copenhagen), Jean Jacod (Paris), Markus Reiss (Berlin) and Michael Sørensen (Copenhagen).

Dynamic Statistical Models, ISI-satellite meeting, Copenhagen, August 17-19, 2011. As a satellite meeting for the 58th ISI meeting in Dublin 2011 the University of Copenhagen organizes this meeting on Dynamic Statistical Models in the framework of the Statistics Program of Excellence; Statistical methods for complex and high dimensional models.

Summer School on Stochastic Differential Equation Models with Applications to the Insulin-Glucose System and Neuronal Modelling, Middelfart, Denmark, August 3-16, 2008. It is part of a series of events on Mathematical Modeling of Human Physiological Systems with Biomedical Applications , 2007-2010.

29th Annual Conference of the International Society for Clinical Biostatistics, Copenhagen, Denmark, August 17-21, 2008 (scientific committee).

Material from the meeting in Statistical Methods in Climate Research, April 24, 2008.

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Papers in refereed journals


Predrag Pilipovic, Adeline Samson and Susanne Ditlevsen: Strang Splitting for Parametric Inference in Second-order Stochastic Differential Equations. Submitted. arXiv: 2405.03606.

Susanne Ditlevsen, Massimiliano Tamborrino and Irene Tubikanec: Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation. Submitted. arXiv: 2306.15787.

Manh Cuong Ngo, Susanne Ditlevsen and Mads Peter Heide-Jørgensen: Sea surface temperatures drive the movements of bowhead whales. Submitted.

Jacob Stærk-Østergaard, Rune W. Berg, Uri Eden, Susanne Ditlevsen: A Statespace Model for characterizing Bursting in Neurons. Submitted.

Kang Li and Susanne Ditlevsen: Clustering and inference in complicated mixture models. Submitted.

Christian Holberg and Susanne Ditlevsen: Asymptotics of cointegration estimator with misspecified rank. Submitted. arXiv:2208.04779.

Christian Holberg and Susanne Ditlevsen: Uniform Inference for Cointegrated Vector Autoregressive Processes. Submitted. arXiv:2306.03632.


88. Predrag Pilipovic, Adeline Samson and Susanne Ditlevsen: Parameter Estimation in Nonlinear Multivariate Stochastic Differential Equations Based on Splitting Schemes. The Annals of Statistics, 52(2): 842-867, 2024. DOI: 10.1214/24-AOS2371.

87. Jacob Stærk-Østergaard, Anders Rahbek, Susanne Ditlevsen: High-dimensional cointegration and Kuramoto inspired systems. SIAM Journal on Applied Dynamical Systems, 23(1), 236-255, 2024.


86. Marie Levakova and Susanne Ditlevsen: Penalization methods in fitting high-dimensional cointegrated VAR models: a review. International Statistical Review,, 2023.

85. Peter Ditlevsen and Susanne Ditlevsen: Warning of a forthcoming collapse of the Atlantic meridional overturning circulation. Nature Communications, 14, 4254, 2023.

84. Outi Tervo, Susanna Blackwell, Susanne Ditlevsen, Adeline Samson, Alexander Conrad, Eva Garde, Rikke Guldborg Hansen and Mads Peter Heide-Jørgensen: Stuck in a corner: Anthropogenic noise threatens narwhals in their pristine Arctic habitat. Science Advances, 9, eade044, 2023.

83. Susanne Ditlevsen and Rolf Poulsen: When Numbers Lie: A Good Bad Example. Significance, 20(3), 26-29, 2023.

82. Lars R. Nielsen, Outi M. Tervo, Susanna B. Blackwell, Mads Peter Heide-Jørgensen and Susanne Ditlevsen: Using quantile regression and relative entropy to assess the period of anomalous behaviour of marine mammals following tagging. Ecology and Evolution, 13, e9967, 2023.

81. Frederik H. Jensen, Outi M. Tervo, Mads Peter Heide-Jørgensen and Susanne Ditlevsen: Detecting narwhal foraging behaviour from accelerometer and depth data using mixed-effects logistic regression. Animal Biotelemetry, 11, 14, 2023.

80. Andreas T Grasskamp, Meida Jusyte, Anthony W McCarthy, Torsten WB Götz, Susanne Ditlevsen, Alexander M Walter: Spontaneous neurotransmission at evocable synapses predicts their responsiveness to action potentials. Frontiers in Cellular Neuroscience, 17, 2023. DOI=10.3389/fncel.2023.1129417.


79. Marie Levakova, Jeppe Høy Christensen and Susanne Ditlevsen: Classification of brain states from EEG data that predicts future performance in visual tasks based on co-integration analysis. Royal Society Open Science, 9220621220621, 2022.

78. Janus R. L. Kobbersmed, Manon M. M. Berns, Susanne Ditlevsen, Jakob B. Sørensen and Alexander M. Walter: Allosteric stabilization of calcium and phosphoinositide dual binding engages several synaptotagmins in fast exocytosis. eLife, 11:e74810, 2022.

77. Emilie Prang Nielsen, Søren Andersen, Christian Lehn Brand and Susanne Ditlevsen: Applying Historical Data in a Nonlinear Mixed-Effects Model Can Reduce the Number of Control Rats Required for Calculation of The Relative Potency of Insulin Analogues. PLoS ONE, 17(6): e0257750., 2022.


76. Tervo, Outi M., Blackwell, Susanna B., Ditlevsen, Susanne, Conrad, Alexander, Samson, Adeline L., Garde, Eva and Heide-Jørgensen, Mads Peter: Narwhals react to ship noise and airgun pulses embedded in background noise. Biology Letters, 17: 20210220,, 2021.

75. Mads Peter Heide-Jørgensen, Susanna B Blackwell, Outi Tervo, Adeline L Samson, Eva Garde, Rikke G Hansen, Manh Cuong Ngo, Alexander S Conrad, Per Trinhammer, Hanse Christian Schmidt, Mikkel-Holger Strander Sinding, Terrie Williams and Susanne Ditlevsen: Behavioral response study on seismic airgun and vessel exposures in narwhals. Frontiers in Marine Science, 8:658173. doi: 10.3389/fmars.2021.658173, 2021.

74. Manh Cuong Ngo, Raghavendra Selvan, Outi Tervo, Mads Peter Heide-Jørgensen, Susanne Ditlevsen: Detection of foraging behavior from accelerometer data using U-Net type convolutional networks. Ecological Informatics., 62, 101275, 2021. An earlier version is accesible from

73. Outi Maria Tervo, Susanne Ditlevsen, Manh Cuong Ngo, Nynne Hjort Nielsen, Susanna Birgitte Blackwell, Terrie M Williams and Mads Peter Heide-Jørgensen: Hunting by the stroke: How foraging drives diving behavior and swimming biomechanics of East-Greenland narwhals (Monodon monoceros). Frontiers in Marine Science, 7, 1244, 2021. DOI: 10.3389/fmars.2020.596469.


72. Aleksander Søltoft-Jensen, Mads Peter Heide-Jørgensen and Susanne Ditlevsen: Modelling the sound production of narwhals using a point process framework with memory effects. Annals of Applied Statistics, 14(4), 2037-2052, 2020.

71. Heide-Jørgensen, Mads Peter; Blackwell, Susanna; Williams, Terrie; Sinding, Mikkel H.S.; Skovrind, Mikkel; Tervo, Outi M.; Garde, Eva; Hansen, Rikke; Nielsen, Nynne H., Ngo, Manh Cuong; Ditlevsen, Susanne: Some like it cold: Temperature dependent habitat selection by narwhals. Ecology and Evolution, 10(15), 8073-8090, 2020.

70. Mads Bonde Raad, Susanne Ditlevsen and Eva Löcherbach: Stability and mean-field limits of age dependent Hawkes processes. Also avaiable from Arxiv. Annales de l'Institut Henri Poincaré, Probability and Statistics, 56(3), 1958-1990, 2020.

69. Janus R. Lind Kobbersmed, Andreas T. Grasskamp, Meida Jusyte, Susanne Ditlevsen, Jakob B. Sørensen, Alexander M. Walter: Rapid regulation of vesicle priming explains synaptic facilitation despite variable vesicle:Ca2+ channel distances. eLife, 9:e51032 DOI: 10.7554/eLife.51032, 2020.

68. Kang Li, Mikiko Kadohisa, Makoto Kusunoki, John Duncan, Claus Bundesen, Susanne Ditlevsen: Distinguishing between parallel and serial processing in visual attention from neurobiological data. Royal Society Open Science, 7(1), Article Number: 191553, 2020.

67. Mareile Große Ruse, Adeline Samson and Susanne Ditlevsen: Multivariate inhomogeneous diffusion models with covariates and mixed effects. Journal of the Royal Statistical Society - series C, 69, Part 1, pp. 167-193, 2020.

66. Susanne Ditlevsen, Alejandro Cencerrado Rubio and Petr Lansky: Transient dynamics of Pearson diffusions facilitates estimation of rate parameters. Communications in Nonlinear Science and Numerical Simulation, 80, 105034, 2020.


65. Kang Li and Susanne Ditlevsen: Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neurons. PLoS ONE, 14(5): e0216322, 2019.

64. Susanne Ditlevsen and Adeline Samson: Hypoelliptic diffusions: discretization, filtering and inference from complete and partial observations. Journal of the Royal Statistical Society - series B, 81(2), 361-384, 2019. Also available from

63. Manh Cuong Ngo, Mads Peter Heide-Jørgensen and Susanne Ditlevsen: Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence. PLoS Computational Biology, 15(3): e1006425, 2019.

62. Lars Witting, Thomas Doniol-Valcroze, Roderick Hobbs, Susanne Ditlevsen, and Mads Peter Heide-Jørgensen: Meta-population modelling of narwhals in East Canada and West Greenland. Marine Fisheries Review, 81(3-4), 116-124, 2019.


61. Blackwell, S., Tervo, O., Conrad, A., Sinding, M., Hansen, R., Ditlevsen, S., and Heide-Jørgensen, M.: Spatial and temporal patterns of sound production in East Greenland narwhals. PLoS ONE, 13(6): e0198295, 2018. pone.0198295.

60. Eva Garde, Mads F. Bertelsen, Susanne Ditlevsen, Mads-Peter Heide-Jørgensen, Nynne H. Nielsen, Anne K. Frie, Droplaug Olafsdottir, Ursula Siebert, Steen H. Hansen: Accuracy of the aspartic acid racemization technique in age estimation of mammals and the influence of body temperature. NAMMCO Scientific Publications, [S.l.], v. 10, feb. 2018.

59. Eva Garde, Signe Jung-Madsen, Susanne Ditlevsen, Rikke G. Hansen, Karl B. Zinglersen and Mads Peter Heide-Jørgensen: Diving behaviour of the Atlantic walrus in high Arctic Greenland and Canada. Journal of Experimental Marine Biology and Ecology, 500, 89-99, 2018.


58. Nynne H. Nielsen, Gisli A. Vikingsson, Steen H. Hansen, Susanne Ditlevsen and Mads Peter Heide-Jørgensen: Two techniques of age estimation in cetaceans: GLGs in teeth and earplugs, and measuring the AAR rate in eye lens nucleus. NAMMCO Scientific Publications, [S.l.], v. 10, aug. 2017.

57. Jacob Østergaard, Anders Rahbek and Susanne Ditlevsen: Oscillating systems with cointegrated phase processes. Journal of Mathematical Biology, 75(4), 845-883, 2017.

56. Massimiliano Tamborrino, Susanne Ditlevsen, Bo Markussen and Søren Kyllingsbæk: Gaussian Counter Models for Visual Identification of Briefly Presented, Mutually Confusable Single Stimuli in Pure Accuracy Tasks. Journal of Mathematical Psychology, 79, 85-103, 2017.

55. Catalina Vich, Rune W. Berg, Antoni Guillamon and Susanne Ditlevsen: Estimation of synaptic conductances in presence of nonlinear effects caused by subthreshold ionic currents. Frontiers in Computational Neuroscience, 11:69, 2017. DOI:10.3389/fncom.2017.00069.

54. Susanne Ditlevsen and Eva Löcherbach: Multi-class oscillating systems of interacting neurons. Stochastic Processes and Their Applications, 127, 1840-1869, 2017.

53. Alexandre Iolov, Susanne Ditlevsen and Andre Longtin: Optimal Design for Estimation in Diffusion Processes from First Hitting Times. SIAM Journal on Uncertainty Quantification, 5(1), 88-110, 2017.


52. Kang Li, Vladislav Kozyrev, Søren Kyllingsbæk, Stefan Treue, Susanne Ditlevsen and Claus Bundesen: Neurons in primate visual cortex alternate between responses to competing stimuli in their receptive field. Frontiers in Computational Neuroscience, 10:141, 2016. DOI:10.3389/fncom.2016.00141.

51. Henry C. Tuckwell and Susanne Ditlevsen: The space-clamped Hodgkin-Huxley system with random synaptic input: inhibition of spiking by weak noise and analysis with moment equations. Neural Computation, 28:10, 2129-2161, 2016.

50. Kang Li, Claus Bundesen and Susanne Ditlevsen: Responses of Leaky Integrate-and-Fire Neurons to a Plurality of Stimuli in Their Receptive Fields. Journal of Mathematical Neuroscience, 6:8, 2016, doi: 10.1186/s13408-016-0040-2.

49. Susanne Ditlevsen and Adeline Samson: Parameter estimation in neuronal stochastic differential equation models from intracellular recordings of membrane potentials in single neurons: a Review. Journal de la Société Française de Statistique, 157(1), 6-16, 2016.


48. Marie Levakova, Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lansky: A review of the methods for neuronal response latency estimation. BioSystems, 136:23-34, 2015.

47. Mareile Große Ruse, Lasse R. Søndergaard, Susanne Ditlevsen, Morten Damgaard, Stefan Fuglsang, Johnny T. Ottesen, and Jan L. Madsen: Absorption and initial metabolism of 75Se-L-selenomethionine: a kinetic model based on dynamic scintigraphic data. British Journal of Nutrition, 114:1718-1723, 2015.

46. Eva Garde, Steen H. Hansen, Susanne Ditlevsen, Ketil Biering Tvermosegaard, Karin Harding, Johan Hansen and Mads Peter Heide-Jørgensen: Life history parameters of narwhals from Greenland. Journal of Mammalogy, 96(4):866-879, 2015.

45. Massimiliano Tamborrino, Susanne Ditlevsen and Petr Lansky: Parameter Inference from Hitting Times for Perturbed Brownian Motion. Lifetime Data Analysis, 21: 331-352, 2015. Top-Downloaded LIDA Article Published in 2015.


44. Marie Levakova, Susanne Ditlevsen and Petr Lansky: Estimating latency from inhibitory input. Biological Cybernetics, 108(4): 475-493, 2014.

43. Susanne Ditlevsen and Adeline Samson: Estimation in the partially observed stochastic Morris-Lecar neuronal model with particle filter and stochastic approximation methods. Annals of Applied Statistics, 8(2): 674-702, 2014.

42. Alexandre Iolov, Susanne Ditlevsen and Andre Longtin: Stochastic Optimal Control of Single Neuron Spike Trains. Journal of Neural Engineering, 11, 046004, 2014.

41. Alexandre Iolov, Susanne Ditlevsen and Andre Longtin: Fokker-Planck and Fortet equation-based parameter estimation for a leaky integrate-and-fire model with sinusoidal and stochastic forcing. Journal of Mathematical Neuroscience, 4(4), 2014, doi:10.1186/2190-8567-4-4.

40. M. Trøseid, S. Ditlevsen, T. Hviid, J. Gerstoft, T. Grøndahl Hansen, B. Klarlund Pedersen, S. Dam Nielsen, B. Lindegaard: Reduced trunk fat and triglycerides after strength training are associated with reduced LPS levels in HIV-infected individuals. Journal of Acquired Immune Deficiency Syndromes, 66(2): e52-e54, 2014.


39. Rune Berg and Susanne Ditlevsen: Synaptic inhibition and excitation estimated via the time constant of membrane potential fluctuations. Journal of Neurophysiology, 110: 1021-1034, 2013.

38. Susanne Ditlevsen and Priscilla Greenwood: The Morris-Lecar neuron model embeds a leaky integrate-and-fire model. Journal of Mathematical Biology, 67(2), 239-259, 2013.

37. Enrico Bibbona and Susanne Ditlevsen: Estimation in discretely observed Markov processes killed at a threshold. Scandinavian Journal of Statistics, 40(2), 274-293, 2013.

36. Pasquale Palumbo, Susanne Ditlevsen, Alessandro Bertuzzi and Andrea De Gaetano: Mathematical modeling of the glucose-insulin system. Mathematical Biosciences, 244, 69-81, 2013.

35. Massimiliano Tamborrino, Susanne Ditlevsen and Petr Lansky: Parametric inference of neuronal response latency in presence of a background signal. BioSystems, 112, 249-257, 2013.

34. Nynne H. Nielsen, Eva Garde, Mads Peter Heide-Jørgensen, Christina H. Lockyer, Susanne Ditlevsen, Droplaug Olafsdottir and Steen H. Hansen: Application of a novel method for age estimation of a baleen whale and a porpoise. Marine Mammal Science, 29(2), E1-E23, 2013.

33. Birgitte Lindegaard, Susanne Ditlevsen, Peter Plomgaard, Bettina Mittendorfer, Bente K Pedersen: Acute reduction of lipolysis reduces adiponectin and IL-18 - evidence from an intervention study with acipimox and insulin. Diabetologia, 56: 2034-2043, 2013.

32. Birgitte Lindegaard, Vance B. Matthews, Claus Brandt, Pernille Hojman, Tamara L. Allen, Emma Estevez, Matthew J. Watt, Clinton R. Bruce, Ole H. Mortensen, Susanne Syberg, Caroline Rudnicka, Julie Abildgaard, Henriette Pilegaard, Juan Hildago, Susanne Ditlevsen, Thomas J. Alsted, Andreas N. Madsen, Bente K. Pedersen, Mark A. Febbraio: Interleukin-18 activates skeletal muscle AMPK and reduces weight gain and insulin resistance in mice. Diabetes, 62(9): 3064-3074, 2013.


31. Susanne Ditlevsen and Petr Lansky: Only through perturbation can relaxation times be estimated. Physical Review E, Rapid Communications, 86, 050102(R), 2012.

30. Massimiliano Tamborrino, Susanne Ditlevsen and Petr Lansky: Identification of noisy response latency. Physical Review E, 86, 021128, 2012.

29. Anders Chr. Jensen, Susanne Ditlevsen, Mathieu Kessler and Omiros Papaspiliopoulos: A Markov Chain Monte Carlo approach to parameter estimation in the FitzHugh-Nagumo model. Physical Review E, 86, 041114, 2012.

28. Eva Garde, Mads Peter Heide-Jørgensen, Susanne Ditlevsen and Steen H. Hansen: Aspartic acid racemization rate in narwhal (Monodon monoceros) eye lens nuclei estimated by counting of growth layers in tusks. Polar Research 2012, 31, 15865.


27. Umberto Picchini and Susanne Ditlevsen: Practical Estimation of High Dimensional Stochastic Differential Mixed-Effects Models. Computational Statistics & Data Analysis, 55: 1426-1444, 2011.

26. Patrick Jahn, Rune W. Berg, Jørn Hounsgaard and Susanne Ditlevsen: Motoneuron Membrane Potentials Follow a Time Inhomogeneous Jump Diffusion Process. Journal of Computational Neuroscience, 31: 563-579, 2011.

25. Susanne Ditlevsen and Petr Lansky: Firing variability is higher than deduced from the empirical coefficient of variation. Neural Computation, 23(8): 1944-1966, 2011.


24. Umberto Picchini, Andrea De Gaetano and Susanne Ditlevsen: Stochastic Differential Mixed-Effects Models. Scandinavian Journal of Statistics, 37(1): 67-90, 2010. See also correction in the same issue, page 176.


23. Petr Lansky and Susanne Ditlevsen: A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models. Biological Cybernetics, 99: 253-262, 2008.

22. Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano and Petr Lansky: Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal. Neural Computation, 20: 2696-2714, 2008.

21. Rune W. Berg, Susanne Ditlevsen and Jorn Hounsgaard: Intense Synaptic Activity Enhances Temporal Resolution in Spinal Motoneurons. PLoS ONE, 3(9): e3218. doi:10.1371/journal.pone.0003218, 2008.

20. B. Lindegaard, T. Hansen, T. Hvid, G. van Hall, P. Plomgaard, S. Ditlevsen, J. Gerstoft, and B. K. Pedersen: The effect of strength and endurance training on insulin sensitivity and fat distribution in HIV-infected patients with lipodystrophy. The Journal of Clinical Endocrinology & Metabolism, 93(10): 3860-3869, 2008.

19. Umberto Picchini, Susanne Ditlevsen and Andrea De Gaetano: Maximum likelihood estimation of a time-inhomogeneous stochastic differential model of glucose dynamics. Mathematical Medicine & Biology, 25: 141-155, 2008.

18. Susanne Ditlevsen and Ove Ditlevsen: Parameter estimation from observations of first-passage times of the Ornstein-Uhlenbeck process and the Feller process. Probabilistic Engineering Mechanics, 23: 170-179, 2008.


17. Susanne Ditlevsen and Petr Lansky: Parameters of stochastic diffusion processes estimated from observations of first hitting-times: application to the leaky integrate-and-fire neuronal model. Physical Review E, 76, 041906, 2007. Selected for Virtual Journal of Biological Physics Research, October 15, 2007.

16. Susanne Ditlevsen, Kay-Pong Yip, Donald J. Marsh and Niels-Henrik Holstein-Rathlou: Parameter estimation of the feedback gain in a stochastic model of renal hemodynamics: differences between spontaneously hypertensive rats and Sprague-Dawley rats. American Journal of Physiology. Renal Physiology, 292: 607-616, 2007 .

15. Susanne Ditlevsen: A result on the first-passage time of an Ornstein-Uhlenbeck process. Statistics and Probability Letters, 77: 1744-1749, 2007 .

14. Birgitte Lindegaard, Christian Frosig, Anne Marie W Petersen, Peter Plomgaard, Susanne Ditlevsen, Bettina Mittendorfer, Gerrit Van Hall, Jorgen F Wojtaszewski, Bente K Pedersen: Inhibition of Lipolysis Stimulates Peripheral Glucose Uptake but has no effect on Endogenous Glucose Production in HIV Lipodystrophy. Diabetes, 56(8): 2070--2077, 2007.

13. K. D. Farnsworth, U. H. Thygesen, S. Ditlevsen, and N. J. King: How to estimate scavenger fish abundance using baited camera data. Marine Ecology Progress Series, 350: 223-234, 2007 .


12. Susanne Ditlevsen and Petr Lansky: Estimation of the input parameters in the Feller neuronal model. Physical Review E, 73, 061910, 2006.

11. Umberto Picchini, Susanne Ditlevsen and Andrea De Gaetano: Modeling the euglycemic hyperinsulinemic clamp by stochastic differential equations . Journal of Mathematical Biology, 53(5): 771-796, 2006 .


10. Susanne Ditlevsen and Andrea De Gaetano: Mixed effects in stochastic differential equation models. REVSTAT Statistical Journal, 3: 137-153, 2005.

9. Susanne Ditlevsen and Petr Lansky: Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model. Physical Review E, 71, 011907, 2005. Selected for Virtual Journal of Biological Physics Research, February 1, 2005.

8. Susanne Ditlevsen and Andrea De Gaetano: Stochastic vs. deterministic uptake of dodecanedioic acid by isolated rat livers. Bulletin of Mathematical Biology, 67: 547-561, 2005.

7. Susanne Ditlevsen, Kay-Pong Yip and Niels-Henrik Holstein-Rathlou: Parameter estimation in a stochastic model of the tubuloglomerular feedback mechanism in a rat nephron. Mathematical Biosciences, 194: 49-69, 2005.

6. Umberto Picchini, Andrea De Gaetano, Simona Panunzi, Susanne Ditlevsen and Geltrude Mingrone: A mathematical model of the euglycemic hyperinsulinemic clamp. Theoretical Biology and Medical Modelling, 2:44, 2005.

5. Susanne Ditlevsen, Ulla Christensen, John Lynch, Mogens Trab Damsgaard and Niels Keiding: The Mediation Proportion: A Structural Equation Approach for estimating the proportion of exposure effect on outcome explained by an intermediate variable. Epidemiology, 16(1): 114-120, January 2005.


4. Susanne Ditlevsen and Michael Sørensen: Inference for observations of integrated diffusion processes. Scandinavian Journal of Statistics, 31(3): 417-429, 2004.

3. Ulla Christensen, Rikke Lund, Mogens Trab Damsgaard, Bjørn E. Holstein, Susanne Ditlevsen, Finn Diderichsen, Pernille Due, Lars Iversen, John Lynch: Cynical Hostility, socioeconomic position, health behaviours and symptom load: a cross-sectional analysis in a Danish population-based study. Psychosomatic Medicine 66: 572-577, 2004.

2. Klaus Witt, Erik Knudsen, Susanne Ditlevsen and Hanne Hollnagel: Academic detailing has no effect on prescribing of asthma medication in Danish general practice: A three-year randomized controlled trial with 12 monthly follow-ups. Family Practice 2004, 21(3): 248-253, 2004.


1. Peter D. Ditlevsen, Susanne Ditlevsen and Katrine K. Andersen: The fast climate fluctuations during the stadial and interstadial climate states. Annals of Glaciology, Volume 35, 457-462, 2002.

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Book chapters

Alexandre Iolov, Susanne Ditlevsen and Andre Longtin: Stochastic Optimal Control of Spike Times in Single Neurons. In Ahmed El Hady (Ed.), Closed Loop Neuroscience, Academic Press, London, 2016.

Susanne Ditlevsen and Adeline Samson: Introduction to stochastic models in biology. In Bachar, Batzel and Ditlevsen (Eds.), Stochastic Biomathematical Models with Applications to Neuronal Modeling. Volume 2058 of the Lecture Notes in Mathematics series (Biosciences subseries), Springer, 2013.

Susanne Ditlevsen, Donald Marsh and Niels-Henrik Holstein-Rathlou (2011): Mathematical Modeling of the Tubuloglomerular Feedback Mechanism in the Kidney. In Mathematical Physiology, [Eds.Andrea de Gaetano and Pasquale Palumbo], Encyclopedia of Life Support Systems (EOLSS). Developed under the Auspices of the UNESCO. Eolss Publishers, Paris, France, [] .

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Stochastic Biomathematical Models with applications to Neuronal Modeling. Volume 2058 of the Lecture Notes in Mathematics series (Biosciences subseries), 2012. See also the electronic version.

Susanne Ditlevsen and Helle Sørensen (2010): En Introduktion til Statistik. Lecture notes.

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Susanne Ditlevsen and Petr Lansky: Comparison of statistical methods for estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model from first-passage times data. In American Institute of Physics Proceedings Series, CP1028, Collective Dynamics: Topics on Competition and Cooperation in the Biosciences, Eds.: L.M. Ricciardi, A. Buonocore, and E. Pirozzi. 2008.

Susanne Ditlevsen and Andrea De Gaetano (2004): A model of the uptake of alternative fatty acids by isolated rat liver based on stochastic differential equations. In Extended abstracts from the Workshop on Dynamical Stochastic Modeling in Biology, eds. Marianne Huebner and Michael Sørensen, Miscellanea, no. 26, 2004, MaPhySto, Denmark.

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Susanne Ditlevsen and Niels Keiding: Letter to the Editor. Statistics in Medicine, 26: 1415-1416, 2007.

Susanne Ditlevsen, Ulla Christensen, John Lynch, Mogens Trab Damsgaard and Niels Keiding: Mediation Proportion. To the Editor. Epidemiology, 16(4), July 2005.

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Susanne Ditlevsen, Morten Bennedsen og Peter Harder: Debatindlæg : Forskere skal deklarere, når de giver deres personlige holdning til kende. Altinget, 7. marts 2024.

Susanne Ditlevsen: Klumme: Respekt for tal. Weekendavisen, 1. september 2022.

Susanne Ditlevsen: Klumme: Havde Kierkegaard en smartphone? Weekendavisen, 20. maj 2022.

Susanne Ditlevsen: Klumme: Skønheden ved et godt argument. Weekendavisen, 21. april 2022.

Susanne Ditlevsen: Klumme: Og vinderen er: Statistik! Weekendavisen, 18. februar 2022.

Susanne Ditlevsen: Klumme: Støjgener i dybet. Weekendavisen, 17. december 2021.

Susanne Ditlevsen: Klumme: Kunsten at dræbe en myte. Weekendavisen, 16. oktober 2021.

Susanne Ditlevsen: Klumme: Tallenes tvivlsomme ry. Weekendavisen, 25. juni 2021.

Susanne Ditlevsen: Klumme: Florence Nightingales vigtigste fif. Weekendavisen, 12. maj 2021.

Susanne Ditlevsen: Mørketallet og de svære betingede sandsynligheder. Aktuel Naturvidenskab, nr. 6, december 2020.

Susanne Ditlevsen: Educational corner: Testing for antibodies, Bayes formula and the difficult conditional probabilities. European Communications in Mathematical and Theoretical Biology, No. 23, 2020.

Susanne Ditlevsen and Thorbjörn Lundh: Models, data and statistics - why is it so difficult? European Communications in Mathematical and Theoretical Biology, No. 23, 2020.

Susanne Ditlevsen: Tallenes Tale. Et bidrag til festskriftet Forskningens Skønhed til Hendes Majestæt Dronning Margrethe II ved 80-års fødselsdagen, 2020.

Susanne Ditlevsen, Helle Sørensen and Per Kragh Andersen: Sammenhænge, risici, behandlingseffekter - kan vi stole på forskningsresultaterne?, Practicus, Nr. 241, August 2018.

Susanne Ditlevsen: Matematikken i nervecellers dynamik. Temahæfte til gymnasieklasser, SCIENCE, Københavns Universitet, 2015.

Susanne Ditlevsen and Petr Lansky: Special issue on the Neural Coding 2014 workshop PREFACE. Special issue of Mathematical Biosciences and Engineering, 13(3, SI), pages i-i, 2016.

Susanne Ditlevsen, Thomas Scheike and Michael Sørensen: Editorial: Six papers on Dynamic Statistical Models. Special issue of Scandinavian Journal of Statistics, 41(1), 22, 2014.

Susanne Ditlevsen and Petr Lansky: Special issue on Computational Neuroscience PREFACE. Special issue of Mathematical Biosciences and Engineering, 11(1, SI), pages I-II, 2014.

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PhD dissertation, 2005

Title: Modeling of physiological processes by stochastic differential equations.

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Editorial work and other services

See PUBLONS for reviews since 2014.

Associate editor, Biometrika, 2018-present.

Consulting editor, Journal of Mathematical Psychology, 2018-present.

Associate editor, Scandinavian Journal of Statistics, 2010-2016.

Associate editor, Mathematical Biosciences and Engineering, 2007-2020.

Guest editor, PLOS Computational Biology, 2017.

Together with Mostafa Bachar and Jerry Batzel I have edited the book Stochastic Biomathematical Models with applications to Neuronal Modeling. Volume 2058 of the Lecture Notes in Mathematics series (Biosciences subseries), 2012. See also the electronic version.

Together with Michael Sørensen and Thomas Scheike I was guest editor on a special issue in Scandinavian Journal of Statistics, originated from the meeting Dynamic Statistical Models, ISI-satellite meeting, Copenhagen, August 17-19, 2011.

Together with Petr Lansky I was guest editor on a Special issue on Computational Neuroscience in Mathematical Biosciences and Engineering, originated from the meeting 10th International Neural Coding Workshop, Prague, September 2-7, 2012, and on a Special Issue, also in Mathematical Biosciences and Engineering, originated from the meeting 11th International Neural Coding Workshop, Versailles, October 6-10, 2014.

I have reviewed for the following journals:

Annals of Statistics, Applied Mathematical Modelling, Applied Mathematics and Computation, Bernoulli, Biological Cybernetics, Biostatistics, BioSystems, Brain Research, Brazilian Journal of Probability and Statistics, Bulletin of Mathematical Biology, Chaos, Solitons & Fractals, Chinese Journal of Physiology, Communications in Nonlinear Science and Numerical Simulation, Complexity, Computational and Mathematical Methods in Medicine, Computational Statistics, Computational Statistics and Data Analysis, Earth's Future, Ecological Complexity, Ecological Informatics, Electronic Journal of Statistics, Entropy, Epidemiology, ESAIM Probability & Statistics, Fisheries Research, Frontiers of Computational Neuroscience, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, IEEE Transactions on Nanobioscience, International Journal of Biostatistics, Journal of Applied Mathematics, Journal of Applied Probability/Advances in Applied Probability, Journal of Computational and Applied Mathematics, Journal of Computational Neuroscience, Journal of Mathematical Biology, Journal of Mathematical Neuroscience, Journal of Neuroscience Methods, Journal of Statistical Physics, Journal of the American Statistical Association, Journal of the Indian Society for Probability and Statistics, Journal of the Royal Society Interface, Journal of the Royal Statistical Society Series B, Kidney International, Lifetime Data Analysis, Mathematical Biosciences, Mathematical Biosciences & Engineering, Mathematical Communications, Mathematical Computer Modelling, Metrika, Nature Communications, Nature Human Behavior, Neural Computation, Neural Networks, Neural Network World, Neural Processing Letters, Neuroscience, OMICS Journal of Clinical and Experimental Ophthalmology, Physica A: Statistical Mechanics and its Applications, Physica D: Nonlinear Phenomena, Physical Review E, Physical Review Research, PLOS ONE, Scandinavian Journal of Statistics, Scientific Reports, Statistical Inference for Stochastic Processes, Statistica Sinica, Statistics, Statistics and Computing, Statistics in Medicine, Statistics & Probability Letters, Stochastic Models, Stochastic Processes and Their Applications, Stochastics.

I have also reviewed for:

The publisher Chapman and Hall, Springer, Mathematical Reviews, the Wallenberg Academy Fellows Programme (Sweeden), Research Council of Norway, the Sweedish Research Council, Vienna Research Council, the Institute for Advanced Study of the Technische Universität München (Germany), Mathematical Biosciences Institute (Ohio State University), the Engineering and Physical Sciences Research Council (EPSRC) in the UK, the Italian Research and University Evaluation Agency (ANVUR), Technische Universität Berlin (Fakultät II - Mathematik und Naturwissenschaften, Institute of Mathematics), Computational Neuroscience Meeting.

I am a member of the Committee for the Natural and Technical Sciences at Novo Nordisk Foundation 2024-2027.

I was a member of the Committee on Bioscience and Basic Biomedicine at Novo Nordisk Foundation 2017-2020.

I have evaluated PhD theses in Denmark, Norway, Finland, Sweden, Germany, Austria, France and Italy.

I have been in assessment committees for academic positions (full, associate and assistant professorships) in Denmark, Norway, Italy and Germany.

I was a member of Faglig referencegruppe til varslingssystemet, established by the Ministry of Health. It was a group of experts in medicine, epidemiology, economics and social affairs, to continuously assess and qualify the warning system under the covid-19 pandemic.

I am serving on the Scientific Steering Committee of the Isaac Newton Institute, University of Cambridge, UK, 2021-2024.

I am a board member of Collstrops Fond since 2019.

I am a member of Nasjonal bedømmelseskomite for søknad om opprykk til professor, innen fagområdet Statistikk, Norge, 2020-2023.

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PhD students

PhD students where I am or have been co-supervisor


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2024 Recipient of the prize Tagea Brandts Rejselegat.
2021-2024 Elected vice-president, the natural sciences, of the Presidium of the Royal Danish Academy of Sciences and Letters.
2021-2025 Council member of the Bernoulli Society for Mathematical Statistics and Probability.
2021-2024 Scientific Steering Committee member of the Isaac Newton Institute for Mathematical Sciences, Cambridge UK.
2020 Entry in the Danish Who is Who (Kraks Blå Bog).
2018-2021 Elected member of the European Mathematical Society, Applied Mathematics Committee.
2017 Teacher of the Year at SCIENCE, University of Copenhagen. Universitetsavisen.
2016 Elected member of the Royal Danish Academy of Sciences and Letters.
2015-2020 Elected member of the board of European Society of Mathematical and Theoretical Biology
2012 Elected member of the International Statistical Institute


2022-2025 UCPH-CNRS 2022 PhD joint programme. PI, joint with Adeline Samson.
2021-2024 Data Science Distinguished Investigator, Novo Nordisk Foundation (8.150.000 DKK). PI
2021-2024 ITN European research & doctoral training programme EPOC. Coordinator. Presentation video.
2020-2023 Danish Council for Independent Research | Natural Sciences (2.565.000 DKK ≈ 345.000 €). PI
2019 Carlsberg Foundation. (60.000 DKK). PI
2015-2016 Villum Kann Rasmussen Foundation. VELUX Visiting Professor Programme (517.440 DKK). PI
2013-2017 UCPH Excellence Programme for Interdisciplinary Research (28.176.000 DKK ≈ 3.756.800 €). PI
2009-2013 Female Research Leader Award of the Danish Council for Independent Research | Natural Sciences (5.760.000 DKK ≈ 768.000 €). PI
2009-2011 Danish Natural Science Research Council (300.000 DKK). PI
2009-2010 Villum Kann Rasmussen Foundation. VELUX Visiting Professor Programme (290.000 DKK). PI
2008 Part of grant from Marie Curie Conferences and Training Courses under the EU Sixth Framework Programme (115.102 €)
2005-2007 Danish Medical Research Council (1.298.952 DKK). PI
2005-2007 Lundbeck Foundation (450.000 DKK). PI
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Invited talks

2024 2024 IMS International Conference on Statistics and Data Science (ICSDS), Nice, France.
2024 Offentlige foredrag i Naturvidenskab, Aarhus Universitet, Denmark.
2024 International Conference on Mathematical Analysis and Applications in Science and Engineering, Porto Portugal. Plenary speaker
2024 Teologisk Institut, University of Copenhagen, Denmark.
2024 Forskellige indslag, Folkemødet, Allinge, Denmark.
2024 Nykredit, Copenhagen, Denmark.
2024 Climate-Inclusive Ecosystem Modeling: Understanding the Dynamics of Ecosystems in a Changing World, Barcelona.
2024 Bloom Festival, Søndermarken, Denmark.
2024 Danske supply-chain konference, Denmark.
2024 Conference of Actuarial studies in non-life insurance (ASTIN), Denmark.
2024 Hacemos Barrio, Albacete, Spain.
2024 Formidlingsakademiet i Videnskabernes Selskab, Copenhagen, Denmark.
2024 Videnskabernes Selskab, Copenhagen, Denmark.
2024 Science for breakfast, University of Copenhagen, Denmark.
2024 Colloquium, University of Torino, Italy.
2024 D3A, Digitalization, Data Science and AI conference , Nyborg, Denmark.
2024 Cheese, Chalk and Wine talk, MATH, University of Copenhagen, Denmark.
2024 Seminar at Center for Basic Machine Learning Research in Life Science, University of Copenhagen, Denmark.
2023 Workshop: Early warning signals for critical transitions, Exeter, UK.
2023 XXI International Scientific and Practical Conference on the Occasion of the Day of Statistics (online), Kyiv, Ukraine.
2023 Global Leaders Forum, Seoul, South Corea.
2023 Energistyrelsen, Copenhagen, Denmark.
2023 Two Days Meeting, Danish Statistical Society, University of Copenhagen, Denmark.
2023 Seminar, University of Dalhousie. Online talk
2023 Kulturnatten, University of Copenhagen, Denmark.
2023 Conference on Robust Econometric Methods in Financial Econometrics (and Beyond), Skovshoved, Denmark.
2023 Annual meeting of the French Statistical Society, Brussels. Plenary talk.
2023 14th Conference on dynamical systems applied to biology and natural sciences, Bilbao, Spain. Plenary talk.
2023 Statistics Colloquia, Bielefeld University, Germany.
2023 Statistics Colloquia, Dalhousie University, Canada.
2022 Matematik til fyraften. Kan vi forudsige et kollaps i klimaet? Institut for matematiske fag, Københavns universitet.
2022 Temaaften: Statistikerens rolle i det danske mediebillede. Dansk Statistisk Selskab
2022 Morgenmadsforelæsning for studerende, Københavns Universitet.
2022 Colloquium, Data assimilation - the collaborative research centre, Potsdam, Germany.
2022 ESMTB colloquium, online.
2022 An evening for Professors at Aarhus University, Denmark.
2021 Seminar, Niels Bohr Institute, University of Copenhagen.
2021 Funding for research: Experiences of an evaluator, University of Copenhagen.
2021 NNF Data Science Talks, Novo Nordisk Foundation.
2021 Workshop: Statistics of Stochastic Differential Equations on Manifolds and Stratified Spaces, Talks, Oberwolfach Research Institute for Mathematics.
2021 Online seminar: Mathematical and Theoretical Biology Group at BCAM, Bilbao, Spain.
2021 Workshop: Multiplicity of Time Scales in Complex Systems. Challenges for Sciences and Dissemination. Videnskabernes Selskab, København.
2021 IMFUFA seminar, RUC.
2021 Young Statisticians Denmark, Copenhagen.
2021 8th Nordic-Baltic Biometrics Virtual Conference. Helsinki
2020 Sundhedsstyrelsen, Kursus i Forskningstræning, online, Denmark.
2020 Mathematics and Neurobiology Intertwined, NeuroMat/NeuroMod, online. Teaser interview.
2020 11th Conference on dynamical systems applied to biology and natural sciences, Trento, Italy. Plenary talk.
2020 Professors' Symposium and Dinner, University of Copenhagen, Denmark.
2019 Foredrag for gynmasieelever, Christianshavn Gymnasium.
2019 Stochastics Meeting Lunteren. The 48th annual meeting of the Dutch probability and statistics community, Lunteren, the Netherlands.
2019 Nordic Biomathematics Days, Helsinki, Finland. Keynote speaker.
2019 Summer School in Computational and Theoretical models in Neuroscience, Venice, Italy.
2019 Colloquium at Faculty of Mathematics and Statistics at Universitat Politecnica de Catalunya-BarcelonaTech, Barcelona.
2019 Forskningens skønhed, Det Kongelige Danske Videnskabernes Selskab, Denmark.
2019 Statistics and Biomathematics Seminar, Göteborg, Sweden.
2019 Inspirationsdag for gymnasielærere på SCIENCE, Copenhagen, Denmark.
2018 European Conference on Mathematical and Theoretical Biology (ECMTB), Lissabon, Portugal.
2018 New trends in mathematical biology, Centre de Recerca Matematica (CRM), Barcelona.
2017 Statistical Foundations of Uncertainty Quantification for Inverse Problems, University of Cambridge.
2017 Bernstein Center for Computational Neuroscience, Berlin.
2017 Two-day meeting, Danish Society for Theoretical Statistics, Copenhagen Business School, Denmark.
2016 Workshop: Dynamical Systems and Data Analysis in Neuroscience: Bridging the Gap, Mathematical Biosciences Institute (MBI) at Columbus, Ohio, USA.
2016 ENCODS 2016 (European Neuroscience Conference by Doctoral Students), Denmark. Keynote speaker.
2016 The 26th Nordic Conference in Mathematical Statistics 2016 (NORDSTAT), Denmark.
2016 4th International TVA Meeting 2016 , Denmark.
2016 European Mathematical Psychology Group Meeting 2016 (EMPG) 2016, Denmark. Keynote speaker.
2016 Statistics and computer science interdisciplinary research day, Denmark.
2016 The Second International Conference on Mathematical NeuroScience (ICMNS), Antibes, France. Tutorial speaker.
2015 MathStatNeuro workshop, Nice, France.
2015 From Ion Channels to Behavior. Symposium in honour of Jørn Hounsgaard, Copenhagen, Denmark.
2015 The First International Conference on Mathematical NeuroScience (ICMNS), Antibes, France. Keynote speaker.
2015 Computational Neurosciences Seminar, Centre de Recerca Matematica, Barcelona, Spain.
2015 The Mathematical Colloquia, Charles University, Prague, Czech Republic.
2014 Matematikfaglig festival for gymnasielærere, Copenhagen, Denmark.
2014 Workshop: Statistics and Nonlinear Dynamics in Biology and Medicine, Banff, Canada. Here is a group picture.
2014 46èmes Journées de Statistique, Rennes, France. Keynote speaker.
2014 Workshop: Statistics for nonlinear dynamical processes, Dortmund, Germany. Here is a group picture.
2014 Regionalmøde i Matematik på Fyn, Nyborg, Danmark.
2014 First Workshop of FAPESP's Center for Neuromathematics, Sao Paulo, Brazil.
2013 Ungdommens Naturvidenskabelige Forening, Copenhagen, Denmark.
2013 Workshop: Mathematics and Neuroscience: A Dialogue, Utrecht University, The Netherlands.
2013 Workshop: Statistical methods for Neuronal Data, Universite Descartes, Paris, France.
2013 DSTS two-days meeting, Aarhus, Denmark.
2013 EMS-DMF Joint Math Weekend, Aarhus, Denmark.
2013 Seminar at Institut für Angewandte Mathematik, University of Heidelberg, Germany.
2012 Workshop: Probabilistic structures of the brain, University of Cergy-Pontoise, France.
2012 Seminar at University of Sao Paulo, Brazil.
2012 Greek Stochastics Meeting, Kalamata, Greece.
2012 Random models in neuroscience, Université Pierre et Marie Curie, France.
2011 Statistics Seminar, Lund University, Sweden.
2011 Oberwolfach Seminar, Oberwolfach, Germany.
2011 3rd G-Node Winter Course in Neural Data Analysis, Munich, Germany.
2011 Dansk Selskab for Teoretisk Statistik, generalforsamling, Copenhagen, Denmark.
2010 28th European Meeting of Statisticians, Piraeus, Greece.
2010 Sommertræf for kandidatstuderende i matematik, Dansk Matematisk Forening, Holbæk.
2010 Joint SIAM/RSME-SCM-SEMA Meeting. Emerging Topics in Dynamical Systems and Partial Differential Equations, Barcelona, Spain.
2010 Seminar at Heriot-Watt University, Edinburgh, Scotland.
2010 Seminar at Durham University, UK.
2010 Workshop on Molecular Motors, Neuron Models, and Epidemics on Networks at SAMSI, North Carolina.
2010 Stochastic Models in Neuroscience. Workshop at CIRM, Marseille, France.
2009 Danish Mathematical Society. Annual Meeting.
2009 Parameter estimation in physiological models. Euro Summer School Lipari, Italy.
2009 Joint Conference of the Society for Mathematical Biology and the Chinese Society for Mathematical Biology, Hangzhou, China.
2009 RUC-Modeldag. Matematiske Modeller i Diabetes.
2008 7th World Congress in Probability and Statistics, Singapore.
2008 EPSRC Symposium Workshop on Computational Neuroscience, Mathematics Research Centre, University of Warwick, UK.
2008 Warwick Systems Biology Centre, Warwick University, UK.
2008 Applications of spatio-temporal dynamical systems in biology (workshop), Nice, France.
2008 International Biomedical modeling school and workshop, Bangalore, India.
2007 Rhein Main Kolloquium Stochastik, Mainz, Germany.
2007 University of Maine, USA.
2007 Gymnasieklasse fra Sønderjylland.
2006 Structural Reliability and Stochastic Mechanics - Past, Present, and Future. Symposium in honor of Ove Ditlevsen. DTU, Lyngby.
2006 Sarajevo Summer School: Mathematical Techniques in Modeling Physiological Systems.
2006 Regionalmøde for gymnasielærere i matematik i Ribe og Sønderjyllands amter, Esbjerg.
2006 Todagesmøde, Dansk Selskab for Teoretisk Statistik, Copenhagen.
2006 SIAM Conference on the Life Sciences, Raleigh, North Carolina.
2005 IMFUFA, Roskilde Universitetscenter.
2005 Årsmøde for gymnasielærere i matematik, fysik og kemi, Odense. Gentaget på regionalmødet for fynske matematiklærere, Odense.
2005 CNR IASI, Rome, Italy.
2005 La Sapienza University, Rome, Italy.
2005 University of Copenhagen.
2005 University of Lund, Sweden.
2004 MaPhySto (Centre for Mathematical Physics and Stochastics), University of Aarhus.
2004 Epidemiologisk-Statistisk Seminar, Forskerskolerne i Folkesundhedsvidenskab og Biostatistik, University of Copenhagen.
2004 Arbejdsmiljøinstituttet, Copenhagen.
2003 Dynamical Stochastic Modeling in Biology (workshop), University of Copenhagen.
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Contributed talks (not complete)

2023 Nordstat, Goethenburg, Sweden.
2022 2022 IMS International Conference on Statistics and Data Science (ICSDS), Florence, Italy.
2018 Neural Coding, Torino, Italy.
2017 European Meeting of Statisticians (EMS), Helsinki, Finland.
2017 Statistics Meeting: University of Copenhagen and Lund University, Lund, Sweden.
2016 2016 joint meeting of the European Society for Mathematical and Theoretical Biology and the Society for Mathematical Biology, Nottingham, UK.
2016 The Second International Conference on Mathematical NeuroScience (ICMNS), Antibes, France.
2015 European Meeting of Statisticians, Amsterdam, Netherlands.
2014 11th International Neural Coding Workshop, Versailles, France.
2013 29th European Meeting of Statisticians, Budapest, Hungary.
2012 10th International Neural Coding Workshop, Prague, Czech Republic.
2012 BIOCOMP, Vietri sul Mare, Italy.
2011 8th European Conference om Mathematics and Theoretical Biology, Krakow, Poland.
2011 Dynstoch, Heidelberg, Germany.
2010 9th International Neural Coding Workshop, Cypres.
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Podcasts (Mostly in Danish)

2024 Kaosteorien - når en sommerfugl forårsager en tornado. 10 formler, der forandrede verden - en podcast fra DM Akademikerbladet.
2024 Talhvisker og datadomptør - Susanne Ditlevsen, statistiker, om hvordan vi kan se de store linjer uden at have det fulde billede. Videnskab fra Vilde Hjerner.
2023 Havstrømme kan ændre klimabalancen. Science Stories.
2023 AMOC: Will Atlantic Current Stop Soon - Freezing Europe? August 9, 2023. Radio Ecoshock.
2021 Statistik: Når tal fortæller. Grundtanker, podcast fra Videnskabernes Selskab.
2020 P1 Hjernekassen, igen om statistik i forbindelse med corona-virus.
2020 P1 Hjernekassen, om statistik i forbindelse med corona-virus.
2019 Radio 24/7, 24 spørgsmål til professoren, med Lone Frank, 17. august: Statistik - videnskabens skalpel - Statistiker Susanne Ditlevsen.
2015 P1 Hjernekassen, om matematik og statistik på Københavns Universitet.
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Videos, small films

2023 El colapso de los océanos, mas cerca de lo previsto. Hacemos barrio, Albacete, Spanien (på spansk).
2022 Præsentation af min forskning på 2 minutter.
2020 Matemáticas y Coronavirus. Universitetshospitalet i Albacete, Spanien, om statistik i forbindelse med corona-virus (på spansk).
2015 Gymnasiefilm, om statistik og min forskning. Læs også her og her.
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Press (Mostly in Danish)

2023 Derfor blev jeg forsker. Science Reports.
2020 Nyheder på, News on, Ingeniøren, Futurity, Scientific India. Om forskning i hjernens processering af visuelt input hos aber.
2019 Om forskning i narhvaler's dykkemønstre og lydproduktion.
2013 Om Dynamical Systems Interdisciplinary Network.
2013 Matematisk Institut
2009 Det Frie Forskningsråd, pressemeddelelse
2005 Femina
2005 Ugeskrift for læger
2005 Universitetsavisen

Her er lidt hvor jeg har fungeret som ekspert

Løbende Klumme-skribent, Weekendavisen. Udtalelser til Berlingske, Politiken, Jyllandsposten, Weekendavisen, Børsen, Detektor, Detektor, Ekstra Bladet, Radio 24/7, Go'aften Danmark, P3, P4.
2020 Dansk Selskab for Teoretisk Statistik, webinar. Diskutant ved webinar om covid-19.
2020 Statens serum Institut, webinar. Diskutant ved webinar om modelberegninger for covid-19 i Danmark. Webinaret kan ses her: YouTube (in English).
2016 Jurymedlem i Unge Forskere. Unge Forskere er Danmarks største talentkonkurrence inden for naturvidenskab og teknik.
2015 P4 Bornholm. Interview i anledning af FN's Verdens Statistikdag den 20. oktober. Det er ca 35 minutter inde i udsendelsen.
2015 DR2. Detektor, om dyrekort fra Dansk Supermarked. Læs også her.
2013 Om gambling.
2013 Lidt mere om gambling.
2012 Om møntkast.
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I can be contacted at:

Susanne Ditlevsen
University of Copenhagen
Department of Mathematical Sciences
Universitetsparken 5
DK-2100 Copenhagen Ø, Denmark

TLF:        +45 3532 0785
FAX:       +45 3532 0704

Last modified: Wed Jun 19 13:50:50 CEST 2024