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Theis Lab

Summary

The Theis Lab is a leading research group in computational biology and machine learning, based at the Institute of Computational Biology, Helmholtz Munich, and the TUM School of Life Sciences, Technical University of Munich (TUM). Led by Fabian J. Theis, the lab develops and applies artificial intelligence, deep learning, and mathematical models to analyze large-scale biological datasets. The lab co-developed the RisQ framework for multimodal human disease risk prediction (as of 2026-07-09).

Research Areas

The Theis Lab operates at the intersection of machine learning and biology, with key focus areas including: - Single-Cell Genomics: Developing software tools (such as Scanpy) and machine learning models to analyze single-cell RNA-sequencing and spatial transcriptomics data. - Generative AI in Biology: Building cellular and tissue foundation models to predict cell state transitions and responses to perturbations. - Systems Medicine: Applying deep learning models to predict clinical outcomes, stratify patient cohorts, and discover disease mechanisms by integrating genomic, clinical, and environmental datasets.

Citations