Andreas Kirsch
Bio & research interests
Hi there! 👋 I’m Andreas Kirsch. I obtained my a PhD (“DPhil”) with Prof Yarin Gal in the OATML group at the University of Oxford and as a student in the AIMS CDT program. You can reach me via email or anonymously via admonymous.
During my DPhil, my interests were in information theory and its applications: information bottlenecks and active learning using Bayesian deep learning, and uncertainty quantification. I also enjoyed thinking about AI ethics and AI safety: in particular, the ML safety course by the Center of AI Safety was a lot of fun.
My thesis focuses on data subset selection: “Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions”.
Originally from Romania, I grew up in Southern Germany. After studying Computer Science and Mathematics at the Technical University in Munich (i.a. reading machine learning under Jürgen Schmidhuber 🎉), I spent a couple of years in Zurich as a software engineer at Google (YouTube Monetization) and worked as a performance research engineer at DeepMind for a year in 2016/17 before spending a gap year as a fellow at Newspeak House. I began my DPhil in September 2018 and submitted my thesis in April 2023.