Zhe He

Dr. Zhe He is a tenured Associate Professor at Florida State University School of Information (iSchool). He is also holding courtesy appointments with College of Medicine and Department of Computer Science at FSU. He is the Team Lead of Biostatistics, Epidemiology, and Research Design (BERD) Program and Informatics Lead of UF-FSU Clinical and Translational Science Award. His research lies at the intersection of biomedical and health informatics, clinical research informatics, machine learning, natural language processing, knowledge representation, and big data analytics. In FSU iSchool, he is directing the eHealth Lab. The overarching goal of his research is to improve the population health and advance biomedical research through the collection, analysis, and application of electronic health data from heterogeneous sources. As Principal Investigator, Dr. He has been funded by National Institutes of Health, Eli Lilly and Company, Amazon, NVIDIA, FSU Council on Research and Creativity, and Institute for Successful Longevity. So far, he has received research grants of over $4 million. One of his NIH-funded projects aims to improve generalizability of clinical trials with novel informatics methods and real-world data from electronic health records. He has also been developing novel methods to improve the interpretability of deep learning models for health outcome prediction. Dr. He obtained his PhD in Computer Science from New Jersey Institute of Technology in 2014, MS in Computer Science from Columbia University in 2009, and BS in Computer Science from Beijing University of Posts and Telecommunications in 2007. Before joining FSU, he was a Postdoctoral Research Scientist at Department of Biomedical Informatics at Columbia University. He has published over 80 papers in leading biomedical informatics venues such as JAMIA, JBI, and JMIR. His papers received a number of prestigious recognitions including two Distinguished Paper Awards of AMIA 2015 and 2017 Annual Symposium. He is Associate Editor of BMC Medical Informatics and Decision Making. He received early promotion to Associate Professor with tenure in 2020.