LabCompass

Kyle Swanson

Computer Science · Purdue University West Lafayette

Established · publishing since 1990Rising activity

Publications

57

Citations

6,718

Est. group size

Recurring co-author estimate

Active years

37

Publishing since 1990

Research summary
AI-generated

Kyle Swanson works at the intersection of machine learning and drug discovery, developing computational tools that predict drug toxicity and safety properties, design new antibiotics and antibodies, and use AI 'agents' to help automate biomedical research tasks. His work often combines generative AI and reinforcement learning with chemistry and biology data to propose new therapeutic candidates and evaluate their potential drug-like properties.

AI-driven drug discovery and designPredicting drug toxicity and safety (ADMET)Generative and reinforcement learning models for chemistryAI agents and language models for biomedical researchSingle-cell and biomedical data analysis

Publication output has grown substantially over the past decade, rising from occasional papers before 2019 to a sustained higher output of roughly 6-12 papers per year from 2023 to 2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.4/year recently
172018: 1 publication182019: 10 publications192020: 6 publications202021: 2 publications212022: 3 publications222023: 10 publications232024: 12 publications12242025: 6 publications252026: 1 publication26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×7
  • ChemRxiv×6
  • Zenodo (CERN European Organization for Nuclear Research)×4
  • Journal of Chemical Information and Modeling×3
  • Cell×2
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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 20, 2026.

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