Fei Wang is currently a tenured Professor of Health Informatics in Department of Population Health Sciences at Weill Cornell Medicine (WCM), where he also holds a secondary appointment as a Professor in Department of Emergency Medicine. Dr. Wang is the Founding Director of the WCM Institute of AI for Digital Health (AIDH) and an Adjunct Scientist at Hospital for Special Surgery (HSS). His research interest is machine learning and artificial intelligence in biomedicine. Dr. Wang has published over 350 papers on the major venues of AI and biomedicine, which have received more than 30K citations to date. His H-index is 83. Dr. Wang is an elected fellow of American Medical Informatics Association (AMIA), American College of Medical Informatics (ACMI) and International Academy of Health Sciences and Informatics (IAHSI), and a distinguished member of Association for Computing Machinery (ACM).
Overview
How It Works
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Faculty Authors
Yiye Zhang is an Assistant Professor in the Division of Health Informatics and Faculty Director of the M.S. Program in Health Informatics at the Department of Population Health Sciences, Weill Cornell Medicine, Cornell University. She also has a secondary appointment in the Emergency Department at Weill Cornell Medicine. As a health informaticist, Dr. Zhang has years of research experience in developing tools to analyze and visualize healthcare information including electronic health records. As a principal investigator, Dr. Zhang’s research has been funded by multiple federal agencies including the National Library of Medicine of National Institute of Health, Agency for Healthcare Research and Quality, and the U.S. Department of Transportation Tier 1 University Transportation Center. Dr. Zhang received her Ph.D. degree in information systems and management at Carnegie Mellon University. She has a B.A. in mathematics from Washington University in St. Louis and an M.S. in biostatistics from Columbia University.
Yifan Peng, PhD, is an Assistant Professor in the Division of Health Sciences Department of Population Health Sciences at Weill Cornell Medicine. His main research interests include BioNLP and medical image analysis. He has published in major AI and healthcare informatics venues, including ACL, CVPR, MICCAI, and ICHI, as well as medical venues, including Nature Medicine, Nucleic Acids Research, npj Digital Medicine, and JAMIA. His research has been funded by federal agencies, including NIH and NSF, as well as by industries such as Amazon and Google. He is an Editorial Board Member for the Journal of Biomedical Informatics. He received the AMIA New Investigator Award in 2023.
Jose Florez-Arango is an educator, clinician, and researcher at the Weill Cornell Medical College. His work includes an emphasis in health informatics and emergency, disasters and pre-hospital care. Dr. Florez-Arango is focused on user-centered design of decision-support systems. He has extensive experience with the adaptation of low cost technologies to be used in healthcare. Dr. Florez-Arango holds an MD in Medicine and an MS in Biomedical Sciences from the University of Antioquia, and a PhD in Health Information and Medical Records Administration from the University of Texas Health Science Center at Houston.

Fei Wang is currently a tenured Professor of Health Informatics in Department of Population Health Sciences at Weill Cornell Medicine (WCM), where he also holds a secondary appointment as a Professor in Department of Emergency Medicine. Dr. Wang is the Founding Director of the WCM Institute of AI for Digital Health (AIDH) and an Adjunct Scientist at Hospital for Special Surgery (HSS). His research interest is machine learning and artificial intelligence in biomedicine. Dr. Wang has published over 350 papers on the major venues of AI and biomedicine, which have received more than 30K citations to date. His H-index is 83. Dr. Wang is an elected fellow of American Medical Informatics Association (AMIA), American College of Medical Informatics (ACMI) and International Academy of Health Sciences and Informatics (IAHSI), and a distinguished member of Association for Computing Machinery (ACM).

Yiye Zhang is an Assistant Professor in the Division of Health Informatics and Faculty Director of the M.S. Program in Health Informatics at the Department of Population Health Sciences, Weill Cornell Medicine, Cornell University. She also has a secondary appointment in the Emergency Department at Weill Cornell Medicine. As a health informaticist, Dr. Zhang has years of research experience in developing tools to analyze and visualize healthcare information including electronic health records. As a principal investigator, Dr. Zhang’s research has been funded by multiple federal agencies including the National Library of Medicine of National Institute of Health, Agency for Healthcare Research and Quality, and the U.S. Department of Transportation Tier 1 University Transportation Center. Dr. Zhang received her Ph.D. degree in information systems and management at Carnegie Mellon University. She has a B.A. in mathematics from Washington University in St. Louis and an M.S. in biostatistics from Columbia University.

Yifan Peng, PhD, is an Assistant Professor in the Division of Health Sciences Department of Population Health Sciences at Weill Cornell Medicine. His main research interests include BioNLP and medical image analysis. He has published in major AI and healthcare informatics venues, including ACL, CVPR, MICCAI, and ICHI, as well as medical venues, including Nature Medicine, Nucleic Acids Research, npj Digital Medicine, and JAMIA. His research has been funded by federal agencies, including NIH and NSF, as well as by industries such as Amazon and Google. He is an Editorial Board Member for the Journal of Biomedical Informatics. He received the AMIA New Investigator Award in 2023.

Jose Florez-Arango is an educator, clinician, and researcher at the Weill Cornell Medical College. His work includes an emphasis in health informatics and emergency, disasters and pre-hospital care. Dr. Florez-Arango is focused on user-centered design of decision-support systems. He has extensive experience with the adaptation of low cost technologies to be used in healthcare. Dr. Florez-Arango holds an MD in Medicine and an MS in Biomedical Sciences from the University of Antioquia, and a PhD in Health Information and Medical Records Administration from the University of Texas Health Science Center at Houston.
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Key Course Takeaways
- Design, implement and evaluate machine learning models in healthcare
- Manage, process, and analyze data to prepare for AI integration in healthcare
- Process and analyze text data to prepare for AI integrations in healthcare
- Apply natural language processing and data management models to daily workflows in healthcare

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AI in Healthcare
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