Ping Zhang

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Ping Zhang, PhD, FAMIA
Associate Professor
Department of Computer Science and Engineering
Department of Biomedical Informatics
The Ohio State University

Phone: +1-614-293-9286
Office: Lincoln Tower 310G

Short Biography

Ping Zhang is a tenured Associate Professor at The Ohio State University (OSU), with joint appointments at the Department of Computer Science and Engineering (CSE), and the Department of Biomedical Informatics (BMI). He leads the Artificial Intelligence in Medicine (AIMed) Lab at OSU. He leads the Artificial Intelligence in Digital Health Collaboration Core at The Ohio State University Wexner Medical Center (OSUWMC). His research focuses on machine learning, data mining, and their applications to foundation models (e.g., large language models, large vision models, large multimodal models), trustworthy AI (e.g., explainability, fairness, robustness, domain generalization, causal inference, uncertainty quantification, human-AI collaboration), computational medicine (e.g., predictive modeling, medical imaging, clinical NLP, real-world evidence, drug discovery & development).


AIMed Lab currently has openings for PhD students (Spring/Fall 2025), postdoctoral associates, and visiting scholars with research interests related to trustworthy machine learning, causal inference, and AI algorithms in medicine. Please reach out to Dr. Ping Zhang via email if you are interested.

Research Support

Our lab gratefully acknowledges ongoing and past support from NSF (e.g., CAREER IIS-2145625, SenSE CBET-2037398), NIH (e.g., R01 NIGMS-R01GM141279, R25 NLM-R25LM014223, R01 NIDA-R01DA057668, R01 NCI-R01CA273924, R01 NIGMS-R01GM122845, R21 NIBIB-R21EB030294), Ohio Department of Medicaid, Google, Lyntek Medical Technologies, and Nationwide Children's Hospital.

Professional Activities


  • OSU President’s Research Excellence Accelerator Award, 2024

  • NSF CAREER Award, 2022

  • OSU Award for Excellence in Mentoring, 2021

  • ICML Top Reviewer, 2020

  • DII National Data Science Challenge Honorable Mention Award, 2019

  • IBM Master Inventor Award, 2018

  • IBM Outstanding Technical Achievement Award for Cognitive-driven Chronic Disease Management Solution Suite, 2018

  • IBM Outstanding Technical Achievement Award for Patient Similarity Analytics, 2016

  • ESWC Best In-Use/Industrial Paper Award, 2016

  • AMIA Summits Nomination for Marco Ramoni Distinguished Paper Award, 2014

  • ACM Future of Computing Gold Award (First Place) for Graduate Projects, 2012

  • NSF Travel Grant Award for BIBM, 2012