I am a postdoctoral research scientist at Columbia University’s Zuckerman Institute working with John P. Cunningham. My research focuses on numerical methods for machine learning, in particular probabilistic numerics which interprets numerical methods as learning procedures. Previously I was a doctoral student in computer science at the University of Tübingen and an IMPRS-IS fellow advised by Philipp Hennig.
Doctoral Degree in Computer Science, 2023
University of Tübingen, IMPRS-IS fellow
MSc in Engineering Physics, 2019
KTH Royal Institute of Technology
MSc in Mathematics, 2019
TU München
Recent Preprints and Papers
Software, Tech Reports, etc.