Machine learning methods to infer nuclear function and gene expression dynamics from combined high-throughput fluorescent microscopy and single-cell transcriptomics.

This is a joint project of Eidgenössische Materialprüfungs- und Forschungsanstalt (EMPA), ETH Zürich and Swiss Data Science Center (SDSC) hosted by EMPA. It is internally supervised by Prof. Dr. Oliver Hayden at LBE.The title of the master's thesis is "Predicting disease-related fatigue based on physiological signals: application to post-COVID-19 and cancer".

Federated Machine Learning

Attention Mechanism in Inverse Problems at Machine Learning and Information Processing group (Professur für Machine Learning). Problem Statement: How can we quantitatively measure the contribution of training samples to the prediction of a single test query in a denoising task using an attention mechanism?

Working Student R&D Spine/Trauma Naviation

Tutorials have been held weekly for the lecture "Algorithms and Data Structures".