I am a PhD student at ETH Zurich under the supervisior of Andreas Krause in Learning and Adaptive Systems group. My current research work mostly focuses on modern instances of Experimental Design – a branch of statistics addressing the search for the most informative experiments in order to infer an unknown statistical quantity.
I am also interested in/have worked on Bayesian optimization, kernel methods, sensor selection, control, bandit algorithms and convex optimization. Some of my algorithms have found application in machine calibration, spatial analysis and directed evolution.
PhD in Computer Science, 2018-Now
MSc in Computational Science, 2017
BSc in Mathematical Physics, 2015
University of Edinburgh