معرفی
Andreas Thomas Eilersen is a Postdoctoral Researcher in the Department of Science and Environment at Roskilde University, affiliated with the Mathematics and Physics group (IMFUFA) and the PandemiX Center. His research centers on mathematical epidemiology and disease modelling, with a particular emphasis on the history and dynamics of epidemics. He has also published work in population ecology and astronomy.
His academic background includes:
- Master of Physics from the University of Copenhagen (2016-2018), focusing on "Disease in predator-prey systems".
- Bachelor of Physics (2013-2016) with research on "An analytical solution for the radial velocity distribution function of dark matter".
- A semester abroad at ETH Zürich (2015-2016).
Eilersen's research interests lie at the intersection of mathematics, epidemiology, and history. He develops mathematical models to study epidemic dynamics, with a special focus on historical outbreaks. His work explores how diseases evolve under interventions and how historical data can inform modern pandemic responses. This multidisciplinary approach extends to population ecology and astronomy.
His recent publications demonstrate a strong trend in mathematical epidemiology, particularly in evolutionary aspects of pathogens and the impact of public health interventions. He has investigated how lockdowns influence viral evolution and how historical mortality data can reveal epidemic signatures. This body of work contributes significantly to understanding pandemic patterns and improving future preparedness.
Although no advisees are listed, Eilersen actively participates in multiple collaborative research projects including FUTUREDEMICS, PandemiX, NORDEMICS, and Carlsberg PandemiX. These projects, funded by Nordforsk, the Danish National Research Foundation, and the Carlsberg Foundation, address critical questions in pandemic modeling and historical disease analysis.
He is a key member of the PandemiX Center, an interdisciplinary research hub at Roskilde University dedicated to studying pandemic signatures through quantitative methods. Within the IMFUFA group, he applies mathematical and physical principles to complex biological systems, fostering cross-disciplinary collaboration.
