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Tim Proctor

4 papers

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papers

Publications (4)

cs.AI2026

TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology

Hannah Le, Ramesh Ramasamy, Alex Urrutia +3

Artificial intelligence (AI) agents promise to accelerate drug discovery by compressing interpretation and decision-making loops, but practical deployment requires trusted evaluati…

q-bio.GN2026

scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology

Ian Diks, Zhen Yang, Arjun Banerjee +2

Single-cell studies require analysts to convert raw measurements into specific biological claims through multi-step workflows and integration of metadata, assay context, and auxili…

cs.AI2026

Verifiable Benchmarking of Long-Horizon Spatial Biology

Ian Diks, Harihara Muralidharan, Tim Proctor +1

AI agents are increasingly useful for biological data analysis, but existing benchmarks mostly test broad biological knowledge, executable workflows, or localized analysis steps ra…

cs.AI2026

EpiBench: Verifiable Evaluation of AI Agents on Epigenomics Analysis

Harihara Muralidharan, Reema Baskar, Soo Hee Lee +2

We introduce EpiBench, a verifiable benchmark for short-horizon epigenomics analysis. EpiBench evaluates whether agents can make well-defined analysis decisions from realistic work…

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