Simon Kohl
Researcher · Founder
Now Founder, Latent Labs
Latest on AI4S.fyiTimeline · Jul 15Latent Labs opens Latent-Y, an agent that designs antibodies from a written prompt, to any approved researcherAccount linked from simonkohl.github.io · Avatar from their X account, taken 2026-09-28
Affiliations
Current
- Founder · Latent Labs
Also named in the companies' announcements: Google DeepMind
Current roles come from these dated records, not from the bio below. Each links the page it was read from.
About
Simon Kohl is founder and CEO of Latent Labs, which builds generative models for protein design. At DeepMind he co-developed AlphaFold2, built its pLDDT confidence score, and then started and co-led the protein design team; he also set up DeepMind's wet lab at the Francis Crick Institute. Before DeepMind he was a PhD student at the German Cancer Research Center in Heidelberg, working on generative models for medical image segmentation.
Read on 2026-09-29; for current roles see Affiliations above. Read at: simonkohl.com ↗ · latentlabs.com ↗ · techcrunch.com ↗
Selected work
- Highly accurate protein structure prediction with AlphaFold ↗
AlphaFold2, which predicts a protein's 3D structure from its amino-acid sequence.
Also on this record: Demis Hassabis, Oriol Vinyals
Each byline was read on the paper itself. Only people on this record are named, not the full author list, and a shared byline does not say who did which part.
Founded
Latent LabsProtein design · 2023 · 2 rounds on record · disclosed $50M · Series A $40MBackground: Google DeepMind (co-lead of protein design; AlphaFold2) (as the company's own announcements put it)
Backed byRadical VenturesSofinnova PartnersPillar VCKindred Capital
On the timeline
- 2026-07-15Latent Labs opens Latent-Y, an agent that designs antibodies from a written prompt, to any approved researcher
- 2025-12-23Latent Labs designs antibodies from scratch that bind 9 of 18 targets; four designed against one of them raise no detectable immune response in ten donors' cells
- 2025-07-25Latent Labs' binder model hits 91-100% lab hit rates on three macrocycle targets, from 11 to 17 molecules assayed each
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