Directory
This Directory includes Faculty, Staff, Students, and Alumni selectable by category, search or alphabetical by last name. Over 110 students have graduated from the Department of Biomedical Informatics (25+ PhD, 50+ MS, 25+ Certificate). The diversity of careers available to DBMI alumnus is evident in their biographies. Many of our graduates are teaching and performing research in academic institutions, such as Vanderbilt University, Arizona State University, and New York University while others have entered private industry with companies such as Cerner Corporation and Boston Scientific; some have positions in government agencies, such as the NIH and AHRQ, while others are at major medical centers, serving in roles such as Chief Medical Information Officer. We maintain a database of the career paths of our graduates. If you are an alumnus, please contact us if you would like to submit or update information!
Zongqi Xia
Biography
Dr. Xia joined the Department of Neurology in 2016 and holds a secondary appointment in the Department of Biomedical Informatics. He is a principal investigator in the Pittsburgh Institute for Multiple Sclerosis Care and Research and in the Pittsburgh Institute of Neurodegenerative Diseases. Dr. Xia received a Bachelor of Arts from Swarthmore College, both MD and PhD from Case Western Reserve University, and a Master in Clinical Investigation from Harvard Medical School. He completed a neurology residency at the Harvard-affiliated Brigham and Women’s Hospital and Massachusetts General Hospital in 2009 and a post-doctoral fellowship in translational neuroimmunology at the Brigham and Women’s Hospital, Harvard Medical School and Broad Institute of Harvard University and Massachusetts Institute of Technology in 2013. He is a board-certified neurologist with subspecialty expertise in neuroimmunology.
Dr. Xia’s research addresses clinically relevant questions: (1) how does multiple sclerosis start and how to prevent this chronic neurological disease, (2) what contributes to individual variation among people with multiple sclerosis and how to bring precision medicine to multiple sclerosis. He leads an interdisciplinary research team to harness multi-dimensional, longitudinal, patient-derived data and deploy integrative quantitative science approaches. The long-term goal of his research program is to gain insights into the underlying disease and translates these findings into the clinical arena to improve individualized risk prediction, prevention, and management in multiple sclerosis and other related disorders.