Author

David Yang

The University of Texas at Austin

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

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Assay:proteomics· 1

Frequent Co-Authors

Anna M. BattenhouseiD· 1 shared Chanjae LeeiD· 1 shared Claire D. McWhiteiD· 1 shared Daniel J. DiaziD· 1 shared Dannie DurandiD· 1 shared Edward M. MarcotteiD· 1 shared Friedhelm HildebrandtiD· 1 shared Janelle C. LeggereiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperEvolutionary Biology

Anna M. BattenhouseORCID

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Author profile →

2 papers

Recent·Most cited

A protein interactome for the last eukaryotic common ancestor illuminates the biochemical basis of modern genetic diseases

Rachael M. Cox, Ophelia Papoulas, Shirlee Shril, Chanjae Lee, Tynan P. Gardner, Zoya T. Ansari, Anna M. Battenhouse, Muyoung Lee, Kevin Drew, Claire D. McWhite, David Yang, Janelle C. Leggere, Dannie Durand, Friedhelm Hildebrandt, John B. Wallingford, Edward M. Marcotte

The paper reconstructs the protein interactome of the Last Eukaryotic Common Ancestor and identifies new human gene-disease associations for bone density and congenital birth defects.

Cell Genomics · May 27, 2026Peer-reviewedEvolutionary Biology

Efficient Search of Ultra-Large Synthesis On-Demand Libraries with Chemical Language Models

Karl Heyer, David Yang, Daniel J. Diaz

This paper introduces VVS, a machine learning framework for efficiently searching ultra-large chemical libraries by decomposing molecules into building blocks and improving retrieval precision.

bioRxiv · Sep 4, 2025 · PreprintBioinformatics