Data Science Talk Series 

When AI Meets the Genome: Deep Learning for 3D Genome Organization Analysis

Abstract: In this talk, Dr. Oluwadare will present his lab’s latest works in deep learning for 3D genome organization. He will introduce HiC-GNN, a graph neural network framework for scalable, cross-domain genome structure modeling; Unicorn, a blind super-resolution framework that enhances single-cell Hi-C data and improves downstream analysis; and HiCForecast, a deep learning approach for spatiotemporal Hi-C forecasting that predicts dynamic genome organization over time. The presentation will also highlight methods for Hi-C resolution enhancement to mitigate data sparsity and refine chromatin interaction maps. Together, these advances illustrate When AI Meets the Genome, bridging deep learning, graph-based modeling, and genomic structure prediction to offer transformative insights into gene regulation, chromatin dynamics, and disease-associated genome alterations.

Bio of the speaker: Dr. Oluwatosin Oluwadare is an Associate Professor of Computer Science and Engineering at the University of North Texas (UNT). Prior to joining UNT in 2025, he was an Assistant Professor of Computer Science and Innovation at the University of Colorado, Colorado Springs (UCCS), with a secondary appointment in Biomedical Informatics at the University of Colorado School of Medicine, Anschutz Medical Campus. He earned his Ph.D. in Computer Science from the University of Missouri, Columbia, an M.Sc. from the University of Texas, Arlington, and a B.Tech. from the Federal University of Technology, Akure (FUTA), Nigeria. His research centers on AI in Biology, with emphasis on deep learning, computational biology, and bioinformatics. He develops AI-driven models to analyze large-scale genomic and omics data, advancing understanding of genome topology, chromatin dynamics, and functional genomics. His work has been supported by the NIH, NSF, and the Griffiss Institute. Dr. Oluwadare’s recognitions include the NIH Maximizing Investigators’ Research Award (MIRA, 2023), the NSF CRII Early-Career Award (2022), the UCCS College of Engineering Outstanding Pre-Tenure Researcher of the Year Award (2023–2024), and induction into the UCCS $1 Million Dollar Club (2024). Beyond academia, he led the development of EyeCYou, an AI-powered assistive technology that provides facial descriptions for visually impaired individuals, underscoring his broader contributions to AI applications with societal impact. More details can be found at https://oluwadarelab.com