Paper 'MAGNet: Motif-Agnostic Generation of Molecules from Shapes' presented at an MDSI student event
chemCPA awarded 'Best Paper of the Year 2022' at the MDSI Opening Ceremony
Work on flattening statistical manifolds of VAEs received an oral presentation at the 'AI4Science' workshop at NeurIPS 2023
Presented chemCPA at NeurIPS 2022
Co-authored paper 'Interpretable and fine-grained visual explanations for convolutional neural networks'
Contributed to the development of CPA (Compositional Perturbation Autoencoder) for predicting single-cell transcriptomic responses to complex perturbations
Education
2020–present: PhD in Machine Learning & Computational Biology, Technical University of Munich (TUM), supervised by Fabian Theis and Stephan Günnemann