Kenny Workman

@kenbwork

cto @latchbio, intelligence infrastructure for biology

kenbw.com

Joined May 2020

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Kenny Workman
@kenbwork
Aug 1
A talk on verifiable environments for agents in biology 0:00 Where does experimental data come from? 1:41 Modern bio research organized around measurement 2:44 Data analysis is an executable substrate for science 3:23 Five years of learnings building products for pharma 4:13
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Kenny Workman
@kenbwork
Sep 4
We now have speakers. Accepting research submissions for our 2026 NeurIPS workshop in Paris, France on data infrastructure + benchmarks for scientific AI. The workshop focuses on: (1) how scientific data should be organized so models and agents can use it (2) how evaluations
Kenny Workman
@kenbwork
Jul 31
Organizing AIDaR, a workshop at NeurIPS 2026 in Paris on data readiness for scientific AI. The workshop focuses on two questions: 1/ How should scientific data be structured so models and agents can use it effectively? 2/ What should rigorous evaluations of messy, real-world
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Kenny Workman
@kenbwork
Sep 3
Hiring engineers to work on infrastructure for AI x biology. Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI’s application to biology use cases such as therapeutics and biosecurity. We are a group of engineers,
benchmarks.bio — Agentic benchmarks on real-world biological data
From benchmarks.bio
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Kenny Workman
@kenbwork
Sep 3
Turning engineers into disciples of 1980s Genentech
Kenny Workman
@kenbwork
Feb 9, 2025
Genentech is the flagship example of an industrial research organization. Their culture of open science and free flowing publication is rooted in a strong contrarian foundation we should all remember. In the 1980s, secrecy, siloes, zero sum IP fear was far more rampant in
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Kenny Workman
@kenbwork
Sep 2
We introduce an Antibody Discovery Benchmark, a benchmark for testing whether AI agents can make scientific decisions across the stages of therapeutic antibody discovery. 100 evaluations span ten areas from concrete drug programs: from target and modality selection through assay
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