LabCompass

Jeremy J. Yang

Computer Science · Indiana University

OpenAlex ORCID
Computational Drug Discovery MethodsBioinformatics and Genomic NetworksBiomedical Text Mining and OntologiesTuberculosis Research and EpidemiologySARS-CoV-2 and COVID-19 Research

Publications

88

Citations

4,035

Est. group size

—

Recurring co-author estimate

Active years

31

Publishing since 1996

Research summary
AI-generated

Jeremy J. Yang works at the intersection of computer science and biomedical informatics, developing computational tools to help discover new drugs, identify disease-associated genes, and analyze clinical and health records data. Much of the work involves machine learning methods (such as positive-unlabeled learning and knowledge graphs) applied to problems like finding understudied 'dark' drug targets and detecting undiagnosed medical conditions from electronic health records. The research combines cheminformatics, bioinformatics, and text/data mining to make sense of large biomedical datasets.

Computational drug discovery and cheminformaticsMachine learning for biomedical dataKnowledge graphs and gene-disease discoveryElectronic health record miningIlluminating understudied ('dark') drug targets

Publication activity has remained steady over the past decade, averaging about 7-8 papers per year in recent years with some year-to-year fluctuation.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.4/year recently
2017: 6 publications172018: 5 publications182019: 3 publications192020: 15 publications15202021: 7 publications212022: 12 publications222023: 5 publications232024: 9 publications242025: 8 publications252026: 3 publications26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×9
  • Nucleic Acids Research×7
  • Figshare×6
  • ChemRxiv×5
  • Nature Reviews Drug Discovery×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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