Department of Computational and Data Sciences
Department Seminar
Speaker : Dr. Debswapna Bhattacharya, Virginia Tech, USA
Title : “Supercharging AI-Driven Biomedical Data Science with Multimodal Foundation Models and Generative Deep Learning”
Date & Time : July 14th, 2025 (Monday), 11:00 AM
Venue : # 102, CDS Seminar Hall
ABSTRACT
Building a model of a biological system that can provide actionable hypotheses to form a solid foundation for experimental and theoretical analyses is one of the key challenges in biology and medicine. In this talk, I will present my group’s ongoing work in developing, evaluating, and disseminating a new generation of computational methods for biomedical data science empowered by artificial intelligence (AI) and machine learning (ML). First, I will introduce a new generation of AI/ML methods for improved modeling and characterization of protein-nucleic acid assemblies by deep graph learning using embeddings from large language models (LLMs) for biology as well as geometric attention-enabled pairing of heterogeneous biological LLMs, a previously unexplored avenue. Then, I will present a novel generative deep learning model based on equivariant flow matching for end-to-end generation of all-atom RNA 3D structural ensemble. Finally, I will outline my future research directions on attaining atomic-level accuracy in computational modeling of biomolecules and their assemblies at scale.
BIO: Debswapna Bhattacharya is an Associate Professor in the Department of Computer Science at Virginia Tech. His research interests are computational biology, bioinformatics, machine learning, and data science, with a particular focus on AI-driven biomedical data science (AI4BIO). His research group has been developing novel computational and data-driven methods, software, and information systems for diverse biological and medical problems, ranking among the best methods in community-wide blind assessments and serving the worldwide community of biomedical users. He is a recipient of the NSF CAREER Award, NIH Maximizing Investigators’ Research Award (MIRA), and NSF National AI Research Resource Award.
Host Faculty: Dr. Chirag Jain
ALL ARE WELCOME
