My work sits at the intersection of probability theory, statistics, and deep learning. At the moment, I focus on statistical inference for stochastic differential equations (SDEs)—parameter estimation, high-frequency sampling, asymptotic theory. I am also interested in deep-learning-based estimation methods and limit theorems of interacting particle systems.