Susanne Ditlevsen

Susanne Ditlevsen is a Professor in Statistics at the Department of Mathematical Sciences, University of Copenhagen. Her research spans interdisciplinary domains including statistical inference for stochastic processes, mathematical biology, nonlinear dynamics, and computational neuroscience, with applications to physiological systems and marine mammal behavior.

• Primary research areas: Statistics, Stochastic Processes, Biomathematics
• Teaching: Undergraduate and graduate courses in Probability, Regression, and Diffusion Models

Research Highlights:

• Developed statistical methods for Hidden Markov Models to analyze narwhal diving behavior (2019), incorporating long-range dependence.
• Advanced stochastic differential equations with mixed effects for biomedical data (2020), enabling personalized physiological modeling.
• Co-authored high-impact studies on climate tipping points (2023), including the AMOC collapse warning, which received global media attention.
• Contributed to neural network modeling (2017) with multi-class oscillating systems and nonlinear dynamics in neuronal systems (2014).
• Work on α-stable noise and double well potentials (2025) enhances understanding of noise-driven transitions in biological and physical systems.

Collaborations:

• Co-researcher on interdisciplinary projects with Alberto Samson, Eva Löcherbach, and Mads Peter Heide-Jørgensen.
• Engages with international teams on climate dynamics, computational neuroscience, and biomedical statistics.