Ping Zhang
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Ping Zhang, PhD, FAMIA Email: zhang.10631@osu.edu |
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 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).
Openings
AIMed Lab currently has openings for PhD students (Fall 2024), 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
AMIA Fellow, 2020-present
IEEE Senior Member, 2018-present
ACM Distinguished Speaker, 2018-2021
Associate Editor, BMC Digital Health, 2022-present
Associate Editor, BMC Medical Informatics and Decision Making, 2018-present
Associate Editor, Journal of Healthcare Informatics Research, 2016-present
Editorial Board, CPT: Pharmacometrics & Systems Pharmacology, 2015-2023
Media and Publicity Chair, KDD 2018
Media and Publicity Chair, KDD 2019
Local Chair, SDM 2020
Workshop Chair, SDM 2023
Awards
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