About Me

Intro  Hi! I’m an ELLIS PhD student at the Amsterdam Machine Learning Lab, supervised by Eric Nalisnick and co-supervised by Dan Zhang.

Research Interests  I’m broadly interested in probabilistic modelling, sequential settings and generalization. Current work focuses on modelling non-stationary data, including deep sequence models for continuous time and unsupervised test-time adaptation. I also enjoy applying ML to social-science problems.

Bio  I earned a joint M.Sc. in statistics from TU Berlin and Humboldt University Berlin. I wrote my Master's thesis on continuous-time modeling under the supervision of Maja Rudolph at the Bosch Center for Artificial Intelligence. I spent some time in France, where I obtained an engineering degree in applied mathematics and economics from ENSAE. Earlier, I studied economics and political science at Humboldt University Berlin and the University of Munich.