Division of Health Data Science
In recognition of the growing importance of computational sciences in healthcare and biomedical sciences, and to better position our learners for the changing future, we are creating the Division of Health Data Science within the Department of Medicine. The Division will serve as a resource to enhance interactions between MSU computer scientists and clinicians/clinician scientists throughout the eight community campuses, including Corewell Health and Henry Ford Health, and to facilitate the use of real-world clinical data to improve health. The ultimate goal of the new division is to enable partners to leverage one another’s strengths and interests to put each at the forefront of the ongoing revolution in health computer sciences, from development of next-generation algorithms to optimization of the learning health systems.
Faculty and Staff
MSU College of Engineering
Adam Alessio, PhD, Interim Chair of Department of Biomedical Engineering. College of Engineering. Application of machine learning to Radiology.
Mohammad Ghassemi, PhD, Assist Professor, Department of Computer Science and Engineering (CSE), College of Engineering. Artificial intelligence (AI), Natural Language Processing (NLP), Decision support.
Lik-Chuan Lee, PhD, Assoc Prof, Department of Mechanical Engineering, College of Engineering. MSU Computational Cardiovascular Mechanics lab. Fluid Dynamics with Cardiac Remodeling
Jiliang Tang, PhD, University Foundation Prof. Department of Computer Science and Engineering (CSE), College of Engineering. ML to single cell omics.
Jianrong Wang, PhD, Assoc Prof. Department of Computational Mathematics, Science, and Engineering (CMSE), College of Engineering. ML/Systems biology of OMICs.
Yuying Xie, PhD, Assoc Prof. Department of Computational Mathematics, Science, and Engineering (CMSE), College of Engineering. Single cell data analysis, High Dimensional Data Analysis. Causal inference.
Mengsen Zhang, PhD, Assist Prof, Department of Computational Mathematics, Science, and Engineering (CMSE), College of Engineering. Complex systems of data science. Neuroscience.
Guan’ao Yan, PhD, Assist Prof, Department of Computational Mathematics, Science, and Engineering (CMSE), College of Engineering. My research focuses on developing statistical methods to address challenges in real-world data analysis. My areas of interest include Statistical Bioinformatics: turning omics signals into biomedical applications.
MSU College of Natural Science
Hao Zhang, PhD, Chair of Department of Statistics and Probability, College of Natural Science. His research specializes in spatial statistics, with applications spanning agricultural and environmental sciences, climate studies, engineering, and health sciences.
MSU College of Human Medicine
Bin Chen, PhD, Associate Professor of Pediatrics, Data Science, Computer Aided Drug Discovery and EHR data mining.
Judith Lin, MD, Professor of Surgery
Keith English, MD, Chair of Pediatrics
Zhehui Luo, PhD. Professor of Epidemiology and Biostatistics, Associate Chair for Research. Expert in econometrics, policy analysis, and healthcare evaluation. Evaluating the efficacy and effectiveness of health policy, observational studies, and randomized or pragmatic trials.
College of Nursing
Fabrice Mowbray, PhD, RN. Assistant Professor, Director, Data Center - Nursing Research Core. Precision clinical prediction modeling, methodologist. He work sits at the interface between Clinical Rules/Clinical Guidelines (clinician facing) and Clinical Outcomes & Prediction Modeling (data science).
Corewell
David Chesla, PA, Director of Research Operations, Corewell Health West
Surender Rajasekaran, MD, MPH, Devos Endowed Chair, Pediatric Research, Helen Devos Childrens Hospital, Medical Director of Research, Corewell Health, West Michigan, Associate Prof, Michigan State University
Henry Ford
Ilan Rubinfeld, MD, Professor of Surgery, CMIO at HFH. Professor of Surgery, MSU.
MSU College of Communication Arts and Sciences
Bree E. Holtz, Associate Professor, Department of Advertising + Public Relations, College of Communication Arts and Sciences.
Mobile health applications. Intersection of health communication, information communication technologies (ICT), and strategic communication for health behavior change