I am a Principal Applied Scientist at Zalando in Berlin, working on advertising optimization at Zalando Marketing Services. I work on bid optimization and budget pacing across Sponsored Products and Search Ads. My research focuses on machine learning and probabilistic methods, and has been published in multiple scientific articles.
Before joining Zalando, I was a research scientist at Yahoo! Research, working on machine learning and real-time optimization for programmatic advertising. Before that, I was a postdoctoral researcher at the Sierra team at INRIA Paris, advised by Francis Bach. 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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