Ivo Dinov is 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) and a core member of the University of Michigan Comprehensive Cancer Center.

In addition to his core STEM scholarly activities, specific artificial intelligence (AI) research projects led by Dr. Dinov include spacekime analytics using 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.