I am an applied probabilist studying dynamic decision making under incomplete information. I work on stochastic control, optimal stopping and stochastic games to understand how agents learn hidden states, decide when to act, and behave strategically under uncertainty. My work is often motivated by applications in statistics, finance and operations research.
I am currently a Byrne Research Assistant Professor at the Department of mathematics at University of Michigan, mentored by Erhan Bayraktar. I received my PhD degree from the Department of mathematics at Uppsala University under the supervision of Erik Ekström. An introduction to my thesis can be downloaded here.
I am on the 2026–27 academic job market.