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UID:134@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20250714T110000
DTEND;TZID=Asia/Kolkata:20250714T120000
DTSTAMP:20250702T064046Z
URL:https://cds.iisc.ac.in/events/seminar-cds-102-july-14th-1100-superchar
 ging-ai-driven-biomedical-data-science-with-multimodal-foundation-models-a
 nd-generative-deep-learning/
SUMMARY:{Seminar} @ CDS: #102\, July 14th \,11:00: "Supercharging AI-Driven
  Biomedical Data Science with Multimodal Foundation Models and Generative 
 Deep Learning."
DESCRIPTION:Department of Computational and Data Sciences\nDepartment Semin
 ar\n\n\n\nSpeaker : Dr. Debswapna Bhattacharya\, Virginia Tech\, USA\nTitl
 e   : "Supercharging AI-Driven Biomedical Data Science with Multimodal F
 oundation Models and Generative Deep Learning"\nDate &amp\; Time : July 14
 th\, 2025 (Monday)\, 11:00 AM\nVenue : # 102\, CDS Seminar Hall\n\n\n\nABS
 TRACT\n\nBuilding a model of a biological system that can provide actionab
 le hypotheses to form a solid foundation for experimental and theoretical 
 analyses is one of the key challenges in biology and medicine. In this tal
 k\, 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 learni
 ng (ML). First\, I will introduce a new generation of AI/ML methods for im
 proved modeling and characterization of protein-nucleic acid assemblies by
  deep graph learning using embeddings from large language models (LLMs) fo
 r 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 fo
 r end-to-end generation of all-atom RNA 3D structural ensemble. Finally\, 
 I will outline my future research directions on attaining atomic-level acc
 uracy in computational modeling of biomolecules and their assemblies at sc
 ale.\n\nBIO: Debswapna Bhattacharya is an Associate Professor in the Depar
 tment of Computer Science at Virginia Tech. His research interests are com
 putational biology\, bioinformatics\, machine learning\, and data science\
 , with a particular focus on AI-driven biomedical data science (AI4BIO). H
 is research group has been developing novel computational and data-driven 
 methods\, software\, and information systems for diverse biological and me
 dical problems\, ranking among the best methods in community-wide blind as
 sessments and serving the worldwide community of biomedical users. He is a
  recipient of the NSF CAREER Award\, NIH Maximizing Investigators' Researc
 h Award (MIRA)\, and NSF National AI Research Resource Award.\n\nHost Facu
 lty: Dr. Chirag Jain\n\n\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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