Faculty

Ivo Dinov

Professor, Health Behavior and Biological Sciences

Affiliations: Computational Medicine and Bioinformatics, and Michigan Institute for Data Science (MIDAS)

Contact
734-764-5556
dinov@umich.edu
Website

Ivo Dinov

Research

Mathematical representations of big data, spacekime analytics, computational statistics, , longitudinal morphometric studies of development (e.g., Autism, Schizophrenia), maturation (e.g., depression, pain) and aging (e.g., Alzheimer’s disease, Parkinson’s disease). 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.

Understanding cognitive function, modeling neuro-connectivity, analyzing multi-source, heterogeneous, incomplete, time-varying and complex brain data require advanced mathematical techniques, modern spacekime analytics, powerful statistical computing algorithms, and cutting-edge artificial intelligence tools.

Research Areas

Complex time (kime)
Computational and Informational Processing
Mathematical modeling
Predictive health analytics
Scientific visualization of Big Data
Spacekime theory
Statistics