AI FOR SCIENCE · ON THE RECORD
Tsinghua University
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Research on the record
- 2026-10-20Scored by what a lab would actually discover, protein models' zero-shot accuracy explains under a fifth of the difference in what they find, and 50 to 100 measurements beat themLevel 2 · Computed
- 2026-10-08A world model learns to skip ahead in atomic simulations by predicting which atoms move and how much time passed, with the physics bolted on as hard constraintsLevel 2 · Computed
- 2026-09-25AtomWorld-Mem adds memory to a model that chooses which atomic hops a kinetic Monte Carlo run simulates, getting up to 420 times more progress per eventLevel 2 · Computed
- 2026-08-18ASI-Bench tests agents without step-by-step research guidanceLevel 2 · Computed
- 2026-03-15One model from Anew Labs and Tsinghua designs small molecules, peptides and nanobodies against a KRAS pocket, and peptides and small molecules against PCSK9Level 4 · Tested in the physical world
- 2026-01-08Tsinghua's DrugCLIP screens about 10,000 human proteins against 500 million compounds, and its picks hit in the lab at 15% and 17.5% on two targetsLevel 4 · Tested in the physical world
- 2025-04-03BioMap's xTrimoPGLM, a 100-billion-parameter protein language model, both reads and writes protein sequences, its authors report in Nature MethodsLevel 2 · Computed
Graded by how far the evidence went, not how good the result is. See the methodology.
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People
Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.
Named on AI4S.fyi
Shuyi ZhangFaculty member, School of Pharmaceutical Sciences (synthetic biology, protein design) Who proves that a scientific discovery made by AI is right?- DDongting LiAuthor affiliation on a 2026 paper WhatWorkedBench tests whether AI research agents know why an experiment worked, not just how to run it
Yongchao ChenNow: Assistant professor · Tsinghua University Institute for AI Apex Intelligence raises nearly $50M across two rounds to build a self-improving AI researcher
Jianzhu MaAssociate Researcher / Associate Professor, Institute for AI Industry Research One model from Anew Labs and Tsinghua designs small molecules, peptides and nanobodies against a KRAS pocket, and peptides and small molecules against PCSK9- XXiangzhe KongPhD student, Computer Science, THUNLP One model from Anew Labs and Tsinghua designs small molecules, peptides and nanobodies against a KRAS pocket, and peptides and small molecules against PCSK9
Yanyan LanNow: Professor; her group incubated Aipher · Tsinghua University Institute for AI Industry Research (AIR) Tsinghua's DrugCLIP screens about 10,000 human proteins against 500 million compounds, and its picks hit in the lab at 15% and 17.5% on two targets- JJie TangProfessor of Computer Science BioMap's xTrimoPGLM, a 100-billion-parameter protein language model, both reads and writes protein sequences, its authors report in Nature Methods
Ya-Qin ZhangNow: Founding dean; Tsinghua chair professor of intelligent science · Tsinghua University Institute for AI Industry Research (AIR)
Previously there
This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.