I am an applied scientist at Amazon Research where I work on automated hyperparameter optimization and neural architecture search. Prior to Amazon, I was a PhD student at the University of Freiburg under the supervision of Frank Hutter.
During my PhD, I focused on Bayesian hyperparameter optimization, which led to several publications at major machine learning conferences, such as NeurIPS, ICML, ICLR, AISTATS. Together with my collaborators from the University of Freiburg I won the ChaLearn AutoML Challenge in 2015.
- January 2020: I successfully defended my Phd thesis
- November 2019: I will co-organize a workshop on neural architecture search at ICLR 2020
- September 2019: Our paper ‘Meta-Surrogate Benchmarking for Hyperparameter Optimization’ got accepted at NeurIPS 2019
- July 2019: I started as an applied scientist at Amazon Berlin