SCOPE

Simon joined the SDSC as a senior data scientist in April 2022. He conducted his doctoral research on statistical modeling of high-dimensional genetic data at ETH Zürich and earned his MSc and BSc degrees in computer science from the Technical University of Munich. His research interests lie broadly in probabilistic machine and deep learning, generative modeling, causal inference, and approximate inference. Simon is an avid open-source software contributor, with a particular enthusiasm for probabilistic programming languages and numerical computing.

Geoffrey Chinot joined SDSC in September 2025 as a Senior Data Scientist in the Research team.
Geoffrey received his PhD in robust machine learning from Institut Polytechnique de Paris in 2020 and later worked as a postdoctoral researcher at ETH Zurich. Before joining SDSC, he was a Senior Research Scientist at LIOM, leading projects on temporal sensor data analysis, developing machine learning pipelines, and managing a team of researchers. His research interests include robust statistics, deep learning, and the modeling of complex, high-dimensional data.
Outside of work, Geoffrey is passionate about sports and is deeply involved in his rugby club.

Ekaterina received her PhD in Computer Science from Moscow Institute for Physics and Technology, Russia. Afterwards, she worked as a researcher at the Institute for Information Transmission Problems in Moscow and later as a postdoctoral researcher in the Stochastic Group at the Faculty of Mathematics at University Duisburg-Essen, Germany. She has experience with various applied projects on signal processing, predictive modelling, macroeconomic modelling and forecasting, and social network analysis. She joined the SDSC in November 2019. Her interests include machine learning, non-parametric statistical estimation, structural adaptive inference, and Bayesian modelling.