Dr. Ivo Dinov is the 
Henry P. Tappan
						Collegiate Professor, 
						
Dr. Tappan was one of the most influential
						figures on campus and was instrumental in transforming the University of Michigan (1850-1868) into a premier global
						research-intensive institution. 
						
						Prof. Dinov is the 
SOCR Director and professor of Health Behavior and 
						Biological Sciences, and Computational Medicine and Bioinformatics. 
						He is an expert in mathematical modeling, complex time (kime) and spacekime theory, statistical
						analysis, computational processing, scientific visualization of
						large datasets (Big Data), and predictive ML/AI health analytics. 
						His applied research is focused on
						informatics, multimodal biomedical image analysis, and distributed
						genomics computing. Dr. Dinov is a member of the 
						
Michigan Center for Applied 
						and Interdisciplinary Mathematics (MCAIM), a core member of the 
							University of Michigan Comprehensive Cancer Center, and a member of the
							
Nature Medicine Statistical Advisory Board. 
 
							
						In addition to his core-STEM scholarly activities, specific artificial 
						intelligence (AI) research projects Dr. Dinov is involved in include
						spacekime analytics using fMRI data, longitudinal morphometric studies of 
						development (e.g., Autism,
						Schizophrenia), maturation (e.g., depression, pain) and aging
						(e.g., Alzheimer’s disease, Parkinson’s disease). He also studies
						the intricate relations between genetic traits (e.g., SNPs),
						clinical phenotypes (e.g., disease, behavioral and psychological
						test) and subject demographics (e.g., race, gender, age) in
						variety of brain and heart related disorders. Dr. Dinov is
						developing, validating, and disseminating novel methods 
						(e.g., 
spacekime analytics)
						and technologies (e.g., 
CBDA,
						
DataSifter,
						
TCIU)
						for mathematical modeling, statistical computing, biomedical applications,
						scientific education, and active learning.
 
						
						Prof. Dinov is Co-Director of the multi-institutional 
 Probability Distributome
							Initiative (since 2007) and 
							
Editor of the Journal Neuroinformatics. 
							He serves as a
							
								Research Scout for the
							
								Michigan Great Minds, Greater Discoveries, Bold Ideas Initiative. Prof. Dinov is one of
								the 
								University of Michigan Experts on generative artificial intelligence, 
								gen-AI, (e.g., ChatGPT).
							He has served as an expert scientific reviewer for a number of international funding agencies, including
							the Wellcome Trust (UK), Brain Canada Foundation, Science Foundation of Ireland, MJF Foundation, 
							UK Medical Research Council, Israeli Ministry of Science and Technology, Dutch Research Council, 
							Polish Science Foundation, and Swiss National Science Foundation.
							
 
							
						In the past, Dr. Dinov served as Director of the 
							Integrative Biostatistics and Informatics Core, 
University of Michigan
							Nutrition Obesity Research Center (MNORC) (2014-2020), Director of the 
Biostatistics and Data
							Management Core, University of Michigan Udall Center for
							Excellence in Parkinson's Disease (2014-2022), Co-Director of the 
Center for Complexity
							and Self-management of Chronic Disease (CSCD Center, 2014-2021), 
							Associate Director of the
							
							Michigan Institute for Data Science (MIDAS, 2015-2022),
							Associate Director of the
							
							Michigan Neuroscience Graduate Program (NGP, 2019-2021), and
							Associate Education and Training Director, University of Michigan 
							Precision Health (PH) Initiative (2022).
							A 
short biosketch is available here.