Associate Professor
Ping.Zhang@osumc.edu
614-293-9286
Areas of Expertise
- Machine Learning, AI Foundation Models, Causal Inference, Data Mining. Published 100+ papers in top computer science journals and conferences such as Nature Machine Intelligence, Nature Computational Science, KDD, ICLR, AAAI, ACL, CHI, EMNLP, and IJCAI.
- Trustworthy AI, such as causality, explainability, fairness, robustness, domain generalization, and uncertainty quantification. Received NSF CAREER Award in 2022, and IBM Master Inventor Award in 2018.
- Computational Medicine, such as predictive modeling, medical imaging, clinical NLP, large language models (LLM), large multimodal models (LMM), real-world evidence (RWE), drug discovery & development. Filed 28 patents (19 granted). Contributed to multiple AI products, including Watson for Drug Discovery, and Watson for Patient Safety.
Background
Dr. Ping Zhang is a tenured Associate Professor at The Ohio State University (OSU), with joint appointments in the Department of Computer Science and Engineering (CSE), and the Department of Biomedical Informatics (BMI). He is the Vice Chair of Education at BMI. He leads the Artificial Intelligence in Medicine (AIMed) Lab at OSU. He directs the Artificial Intelligence in Digital Health Collaboration Core at The Ohio State University Wexner Medical Center (OSUWMC). Prior to Ohio State, he was a Staff Research Scientist and Master Inventor at IBM T.J. Watson Research Center. His research focuses on machine learning, data mining, and their applications to trustworthy AI and computational medicine.
Dr. Zhang has published over 100 papers and filed over 25 patents. He has received NSF CAREER award in 2022, IBM master inventor award in 2018, ESWC best in-use/industrial paper award in 2016, and AMIA Marco Ramoni distinguished paper nomination in 2014. His research has contributed to multiple AI products, including Watson for Drug Discovery, and Watson for Patient Safety. He has served on the program committees of leading international conferences, including KDD, NeurIPS, ICML, ICLR, IJCAI and AAAI, and on the editorial boards of BMC Digital Health, BMC Medical Informatics and Decision Making, CPT: Pharmacometrics & Systems Pharmacology and Journal of Healthcare Informatics Research. He is an ACM Distinguished Speaker, AMIA Fellow, and IEEE Senior Member.
To learn more about Dr. Zhang, please visit his website here.