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EpiBench: AI agents still struggle with epigenomics analysis
Benchmarking frontier models on practical CUT&Tag/CUT&RUN, ATAC-seq, ChIP-seq, and DNA methylation workflows
Jun 11
•
Kenny Workman
49
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Benchmarking AI Agents on Small-Molecule Preclinical Pharmacology
A verifiable benchmark for practical decisions about potency, mechanism, exposure, safety, and efficacy
Jun 17
•
Kenny Workman
72
1
Agents for Spatial Biology
Tailored to Vizgen, 10X, AtlasXOmics, Takara. Powered by Anthropic.
Oct 28, 2025
•
Kenny Workman
,
Hannah Le
,
Harihara Muralidharan
, and
Zhen Yang
31
2
3
Human Verification of SpatialBench
Two rounds of independent expert attempts define a verified subset of 115 spatial biology tasks and expose ambiguity in benchmark specification and…
May 29
•
Kenny Workman
82
Verifiable Benchmarking of Long-Horizon Spatial Biology
Evaluating whether AI agents can recover complex scientific conclusions from raw spatial biology data
May 27
•
Kenny Workman
99
scBench Updates: Opus 4.7, GPT 5.5, Gemini 3.1
Benchmarking frontier models on messy, real-world single cell data analysis
May 12
•
Kenny Workman
89
Agentic biology is shaped like software
Biology will not jump straight to autonomous AI scientists. Like software, it will first accelerate where work is executable, feedback-rich, and…
Apr 30
•
Kenny Workman
119
5
New Frontier Models Are Faster, Not More Reliable, at Spatial Biology
Overall accuracy for GPT-5.5 and Opus 4.7 remains flat on SpatialBench. Scientist-reviewed trajectories reveal persistent gaps in assay-aware biological…
Apr 29
•
Kenny Workman
,
Hannah Le
,
Zhen Yang
, and
Harihara Muralidharan
13
3
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