About

I am a postdoctoral researcher at ETH Zurich working in the research group of Andreas Krause, Learning and Adaptive Systems group. My current research work mostly focuses on modern instances of Optimal Experiment Design – 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 protein design. I am passionate about laboratory automation and high-througput dataset generation