Author

Andrew Ho

OpenAI (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Genomics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 4 Approach:benchmark study· 3 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Approach:large language model· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Suyash ShringarpureiD· 3 shared Edmund Wong· 2 shared Jeremiah H. LiiD· 2 shared Aaron Quijije· 1 shared Aditya ManthaiD· 1 shared Aidan Tran· 1 shared Alex RubinsteyniD· 1 shared Alexander Ngo· 1 shared

Activity by Year

2026-2026 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Suyash ShringarpureORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

LifeSciBench: Evaluating Language Models on Realistic, Expert-Level Tasks in the Life Sciences

Amelia Liu, Andrew Ho, Anne Marie Droste, David Martin, Edmund Wong, Edward Zhou, Isabelle Zhou, Joshua Park, Joy Jiao, Katie-Rose Skelly, Kenny Kim, Jeremy Li, Kevin Rao, Masatoshi Uehara, Max Marion, , Yunyun Wang

LifeSciBench evaluates language models on 750 expert-authored tasks across seven life science domains and workflows, revealing significant gaps in model performance.

bioRxiv · Aug 22, 2026 · PreprintBioinformatics

Scientific computing in the age of agentic AI: an exploratory field report

Jeremy Zheng Li, Alex Rubinsteyn, Sergey Feldman, Timothy J. O’Donnell, James M. Ferguson, Rob Patro, Ian Driver, Philip Ewels, Felix Krueger, Philipp Angerer, Ilan Gold, Jonathan Manning, Lukas Heumos, Mamad Ahangari, Varun Goyal, , Andrew Ho

This paper explores the use of LLM-based coding agents in scientific computing, presenting case studies in the life sciences and discussing their potential and challenges.

bioRxiv · Aug 5, 2026 · PreprintBioinformatics

GeneBench-Pro: Evaluating Multistage Statistical Reasoning in Genomics, Quantitative Biology, and Translational Biomedicine

Jeremiah H. Li, Suyash Shringarpure, Edmund Wong, Andrew Ho

GeneBench-Pro evaluates AI agents' ability to perform multi-stage scientific analyses in genomics and biomedicine, showing improved benchmarking over previous versions with mixed model performance.

bioRxiv · Jul 21, 2026 · PreprintGenomics

Bacteriophage treatment of Pseudomonas aeruginosa PA14 infection does not alter the native microbiome of Caenorhabditis elegans

Jennifer E Dumaine Carrasco, Aditya Mantha, Alexander Ngo, Andrea Choi, Eric Song, Similoluwa Olaniyi, Aidan Tran, Katherine Herbert, Aaron Quijije, Haley Shaw, Allison Gash, Shreyan Mitra, Andrew Ho, Christopher J. Kovacs, Car Reen Kok, , Andrew R. Kick

This study uses C. elegans to assess how bacteriophage treatment affects the gut microbiome during Pseudomonas aeruginosa infection, finding no significant changes in microbiome composition.

bioRxiv · Jul 16, 2026 · PreprintMicrobiology

GeneBench: Assessing AI Agents for Multi-Stage Inference Problems in Genomics and Quantitative Biology

Jeremiah H. Li, Andrew Ho

GeneBench evaluates AI agents on multi-stage genomics analysis tasks, showing current models struggle with complex inferential workflows despite partial task completion.

bioRxiv · Apr 23, 2026 · PreprintGenomics