Fabian Theis on virtual cells and scaling biological data
What happened
On 6 November 2026, Latent Space published an interview with Fabian Theis of Helmholtz Munich on how to control biology and virtual cells. In the interview, Theis said perturbation prediction with existing datasets is not enough to support complex algorithms, and argued for a shift to large-scale, high-precision, multi-scale, registered biological data to predict evolution from molecule to cell to tissue to organ to organism. This is the latest public report on the matter; with no other reports available for comparison, there are no inconsistencies in figures, timing or claims.
Written by AI from the reports · updated 3 h ago
Timeline
Follow the reports to see the event from each side.
- Latent SpaceControlling Biology - Fabian Theis, Helmholtz Munich
As systems biology efforts heat up to map biology at higher resolution, greater breadth and more modalities, Fabian Theis is pushing the frontier from mapping to predicting to controlling biology
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