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 safety and robustness. My current focus is on measuring and improving the alignment of generative models with human preferences. I am also interested in sequential settings such as time series modelling, continual learning, and sequential hypothesis testing. I 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.
