About Me
Dr. Ivo D. Dinov is the Henry P. Tappan Collegiate Professor at the University of Michigan. Dr. Tappan was one of the most influential figures at the University of Michigan (1850-1868) who transformed the univeristy into a premier global research-intensive institution. Prof. Dinov is the SOCR Director and professor of Health Behavior and Clinical 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.
Research Interests
Current Focus Areas
- Augmented Intelligence and generative AI models (GAIMs)
- Mathematical Modeling and Statistical Inference
- Computational Data Science and Analytical Methods
- Complex-time (kime) and Spacekime Analytics
- Translational STEM
Research Philosophy
My approach to research emphasizes the intersection of theoretical understanding and practical applications. I believe in the power of collaborative science and open research practices to advance knowledge and benefit society.
Patents
This patent disclosed the development of an innovative technique for desensitizing sensitive data, such as human electronic medical data. The method supports generating synthetic digital-twin datasets that resemble the real human data, where individual cases are altered, but the utility of the entire data archive is preserved.
This patent disclosed an automated, efficient, and effective technology for high-throughput specimen collection, image acquisition, data pre-processing, computation of derived biomarkers, modeling, classification and analysis of cancer biopsy samples. This end-to-end protocol provides rapid, reliable, and reproducible analytics of oncology biospecimen and supports clinical diagnosis, prognosis, treatment tracking, and decision-making based on quantifying 3-dimensional cellular morphometry.
This patent discloses a novel artificial intelligence method for training a machine learning model of radiotherapy environment. This radiotherapy AI model includes a transition function configured to predict a next treatment state for each cancer SEER stage and for each proposed radiation treatment dose.
Water Polo Coaching Role
Dr. Dinov has been coaching the University of Michigan Men's Water Polo Team (Club) and was named the Big-10 Coach of the Year in 2022.