I am a postdoctoral researcher at the Sierra team at INRIA Paris, advised by Francis Bach. My research focuses on probabilistic methods for machine learning, especially in the context of dynamical systems and optimization.
I pursued my PhD with Philipp Hennig in Tübingen working on probabilistic numerics, a field that treats computation as machine learning. Together with Philipp Hennig and Mike Osborne, I wrote a textbook on probabilistic numerics. During my PhD, I did internships at Amazon Research and the Bosch Center for Artificial Intelligence. I have a background in probability theory and stochastic analysis. I am passionate about communicating ideas and hope to contribute to the beneficial use of AI accross society.
Outside of work, you can find me meditating, reading books, and doing sports.
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