Publications
Intro Hi! I'm an ELLIS PhD student at the Amsterdam Machine Learning Lab supervised by Eric Nalisnick and Dan Zhang. My PhD research broadly focuses on distribution shifts and generalization. I'm also a machine learning consultant at the World Bank where I work with Sam Fraiberger & team on extracting causal knowledge from development economics to facilitate impactful aid policies.
Bio I graduated with a joint Master's in statistics from the Technical University 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 a French engineering degree in applied mathematics and economics from ENSAE. In my Bachelor’s, I studied Economics and Political Science at Humboldt University Berlin and the University of Munich.
I'm open to collaborations, feel free to reach out!
