Past Event

Distinguished Lecture: DuBois Bowman: "Statistical Methods for Linking Big Data with Precision Health"

April 18, 2017
9:00 AM - 10:00 AM

Dr. Bowman is an internationally recognized scholar in the analysis of brain imaging data and other complex, large-scale data sets. Dr. Bowman has built an active research program involving the development of biostatistical methods for brain imaging data, including functional magnetic resonance imaging, diffusion tensor imaging, and positron emission tomography. Dr. Bowman’s research spans numerous substantive areas including Parkinson’s disease, Alzheimer’s disease, depression, schizophrenia, addiction, and aging, among others. 

Dr. Bowman serves as Chairman of the Department of Biostatistics in the Mailman School of Public Health.  The Department has existing research strengths in analytic capabilities for big data– for instance, derived from hospital records, brain imaging scanners, smart phones, satellites, and genomics.  Dr. Bowman has an exciting vision to leverage these strengths to make Columbia a national hub for the mining, analysis, and development of novel methods for massive data sets to tackle major public health and medical problems. 

Previously, Dr. Bowman was Director of the Center for Biomedical Imaging Statistics at the Rollins School of Public Health at Emory University, a center that he founded, and a tenured Professor in the Department of Biostatistics and Bioinformatics.

Dr. Bowman has served as President of the Eastern North American Region (ENAR) of the International Biometric Society and is a Fellow of the American Statistical Association.