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 where I am co-supervised by Alessandra Buonanno.
My research focuses on developing and adopting state-of-the-art Machine Learning methods to fascinating physics problems ranging from gravitational waves 🌌 to particle physics ⚛️. During my PhD, I am working on simulation-based inference and neural posterior estimation for gravitational wave signals as a developer of the DINGO package.
You can find me on 🐙Github, 🎓Google Scholar, 💼 LinkedIn, 🦋 BlueSky, and 🐦Twitter.
News
2026
- (July 2026) 🏆 I received a honourable mention at the 2026 Outstanding Female Doctoral Student Prize
- (July 2026) 🏅 I gave a talk at 75th the Lindau Nobel Laureate meeting about “Decoding Gravitational Waves with Machine Learning”! Participants voted for their favourite topics based on anonymized abstracts and I’m lucky to be among the top 10% of selected submissions.
- (May 2026) 🤩 My paper “Flexible gravitational-wave parameter estimation with transformers” got accepted at Phys. Rev. Lett. and I wrote a blog post about it!
- (May 2026) 🔊 One more paper where joining forces across fields leads to cool results: We obtain full posteriors over Mars surface parameter based on radar sounder data! Thanks to Jordy for the fun time.
- (April 2026) 🤜🤛 Great new papers by my amazing collaborators Ludwig (Making biophysics simulations differentiable) and Nihar (Using DINGO to obtain eccentricity constraints)!
- (March 2026) 🏆 I have been selected for the 75th Lindau Nobel Laureate meeting!
- (March 2026) 💬 I gave a talk at Merantix about AI for gravitational waves which was recorded.
2025
- (December 2025) 🌀 New paper available: “Flexible Gravitational-Wave Parameter Estimation with Transformers” which got accepted at the NeurIPS workshop Machine Learning and the Physical Sciences 2025!
- (September 2025) 🌊 I will give two talks at the MIAPbP workshop “Build big or build smart: Examining scale and domain knowledge in machine learning for fundamental physics”, stay tuned!
- (July 2025) 🐦 You want to know what ravens and gravitational waves have in common? Join my talk at the Soapbox Science Event Tübingen!
- (May 2025) ⚛ My paper “Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics” got accepted at Machine Learning: Science and Technology.
- (January 2025) 🎥 The recording from my ML4PS spotlight talk is online.
2024
- (December 2024) ✈️ I am attending NeurIPS in Vancouver. Reach out if you want to chat!
- (November 2024) 🏆 My paper “Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics” got selected for a spotlight contributed talk at the NeurIPS workshop Machine Learning and the Physical Sciences 2024!
