I develop human-interpretable AI systems that translate complex biomedical data into actionable biological insights.

I combine LLM-based data curation with multimodal AI training to enable single-cell transcriptomics analysis through an interactive chat interface (CellWhisperer, 2025, Nature Biotechnology), which I extended to histopathology analysis (SpatialWhisperer, ICML 2026; SpotWhisperer, 2025, bioRxiv). I leverage this multimodal AI to reason over large B-cell lymphoma patients using AI agents, building on my earlier work on text-based biomedical simulation with LLMs (SimulateGPT, 2024, Computers in Biology and Medicine).

My research at the intersection of mechanistic biology and AI methods development draws on an interdisciplinary background, combining a Ph.D. in Systems Biology from ETH Zurich focused on gene regulation in embryonic development (2022, EMBO Reports) with Bachelor’s and Master’s studies in Computer Science and AI at TU Berlin (PAVOOC, 2018, Bioinformatics).

A PDF version of my CV with a full list of publications is available here.