Jonas Lybker Juul

<p><strong>What do I do?</strong><br/>I use statistical methods, mathematical modeling and computer simulations to study social networks, spreading processes and human behavior. Recently, I have been particularly interested in how content spreads between online users, and how to mitigate the spread of diseases in human populations. I approach these questions both empirically — using methods from modern data science — and theoretically with methods from physics and mathematical modeling.</p> <p><strong>How did I get here?<br/></strong>My research is generously supported by a Data Science Emerging Investigator 2024 grant from the Novo Nordisk Foundation. Before joining the IT University of Copenhagen, I was a Carlsberg Foundation Fellow at the Technical University of Denmark. Before that, I was a post-doctoral researcher at the Center for Applied Mathematics, Cornell University where I was fortunate to be mentored by Austin Benson, Jon Kleinberg and Steven Strogatz. I was part of Statens Serum Institut's expert group on mathematical modeling of COVID-19 during the reopening of Denmark in the spring and summer of 2020. I obtained my Ph.D. in Physics of Complex Systems from the Niels Bohr Institute in 2020. My Ph.D. supervisors were Joachim Mathiesen and Mogens H. Jensen.</p> <p> </p>