I am a senior researcher at Microsoft Research Amsterdam working at the intersection between machine learning and chemistry.
From 2018 to 2021, I was a research associate working with José Miguel Hernández-Lobato in the Machine Learning Group at the University of Cambridge. My research was supported by an Early Postdoc.Mobility fellowship of the Swiss National Science Foundation.
From 2015 to 2018, I was pursuing my Ph.D. in theoretical chemistry under the supervision of Markus Reiher at ETH Zurich. I developed approaches for the exploration of complex chemical reaction networks with error estimation capabilities through the application of Bayesian statistics and machine learning. My work was supported by a fellowship of the Fund of the German Chemical Industry.
I completed my BSc. and MSc. at ETH Zurich in natural sciences (Focus: Chemistry and Physics, with distinction). I carried out my master’s project in the group of Alán Aspuru-Guzik at Harvard University, where I applied Gaussian processes to predict the efficiency of organic photovoltaics.