I am working at the University of Freiburg, before that I worked 7 years at Amazon as a Senior Applied Scientist.

My research focuses on machine-learning, in particular in AutoML, LLMs, and probabilistic time-series forecasting. In the past, I also worked on Computational Topology and Geometry Processing.

I deeply enjoy taking inspiration of real-problems to do academic research (and the other way around too!). Some of this research went into AWS services such as the forecasting service DeepAR, AWS hyperparameter tuning service or more recently AWS SageMaker inference recommender.

I am also very keen on working on open-source, I am a core developer of Syne Tune (Hyperparameter Optimization), I was also a core-developer of Gluon-ts (time series forecasting), Datawig (data imputation) and Gudhi (computational topology).

You can find my CV here.

My list of publications can be found on Google scholar.