I am a PhD student in Machine Learning at the Max Planck Institute for Intelligent Systems in Tübingen supervised by Bernhard Schölkopf. I am part of the IMPRS-IS graduate program and the interdisciplinary track of the ELLIS PhD program.
My research interests lie at the fascinating intersection of Machine Learning and physics. During my PhD, I am working on simulation-based inference and neural posterior estimation for gravitational wave signals. I am a developer of the DINGO package.
You can find me on Github, LinkedIn, BlueSky and Twitter.
News
- (October 2024) 🔭 New paper alert: “Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels” lead by Timmy
- (October 2024) 🏆 I received a WiML NeurIPS travel award for the best poster at the 2nd Tübingen Women in ML workshop
- (September 2024) 🌊 I gave a lecture and tutorial on normalizing flows at the ODSL GenAI Workshop in Munich.
- (June 2024) 💻 Interested in a introduction to DINGO? Here’s a Colab notebook to start with.
Flow matching for gravitational wave detection.
— Yann LeCun (@ylecun) June 22, 2024
From @bschoelkopf and collaborators at Max Planck. https://t.co/5L1FlBRG4j