LabCompass

Pengyue Zhang

Computer Science · Indiana University

Publications

50

Citations

983

Est. group size

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Pengyue Zhang works at the intersection of computer science, biomedical informatics, and pharmacology, developing computational and statistical methods to study drugs and diseases. This includes using artificial intelligence to find existing drugs that could be repurposed for conditions like Alzheimer's disease, monitoring drug safety in large health datasets, and analyzing clinical and population health data. The work combines machine learning, network modeling, and biostatistics applied to real-world medical questions.

Computational drug discovery and drug repurposingDrug safety and pharmacovigilanceStatistical methods for clinical trials and health dataBiomedical informatics and network medicineAI/machine learning for disease modeling

After a dip around 2022-2023, publication activity rose sharply in 2025, averaging about 3.4 papers per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
2017: 4 publications172018: 6 publications182019: 6 publications192020: 7 publications202021: 5 publications212022: 3 publications22232024: 4 publications242025: 9 publications9252026: 1 publication26
Recent publications
Publishes in
  • Statistics in Medicine×4
  • CPT Pharmacometrics & Systems Pharmacology×4
  • medRxiv×3
  • Figshare×3
  • Clinical Pharmacology & Therapeutics×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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