Biomedical Data Analysis Group

Welcome

We work on machine learning and deep learning methods, with a focus on biomedical applications. Our activities include the development of statistical models for prediction, feature selection, clustering, network inference, but also image segmentation and causality mining. Currently we have research projects on identifying soil degradation in the Swiss Alps, modelling bird migration, and discovering novel molecules with desirable properties. In previous research projects we worked on EEG analysis in the context of Parkinson dementia, on DNA sequence analysis for HIV therapy optimization, on copula distributions and on causal models.

News

20 February 2026

Congratulations to Jonathan for successfully defending his thesis!

26 January 2026

Our paper NIMO: a Nonlinear Interpretable MOdel has been accepted to the International Conference on Learning Representations (ICLR 2026). Congratulations to Shijian and Marcello!

24 March 2025

Congratulations to Monika for successfully defending her thesis on “Interpretable Machine Learning including Physical Constraints”!

22 January 2025

Our paper Injective Flows for Star-like Manifolds has been accepted to the International Conference on Learning Representations (ICLR 2025). Congratulations to Marcello and Jonathan!

15 January 2025

Giovanni Abati joined our group as a new PhD student.