Fusing Mechanistic Networks and Machine Learning to Understand Inflammation-Fibrosis Coupling

Dr. Saucerman, Jeffrey

Professor
Department of Biomedical Engineering
The University of Virginia

Seminar Information

Seminar Series
Biomechanics & Medical Devices

Seminar Date - Time
May 3, 2024, 9:00 am
-
10 AM

Seminar Location
SME 248 ASML Conference Center

Dr. Saucerman, Jeffrey

Abstract

            Inflammation and fibrosis are conserved phases of wound healing in the heart, skin, and other organs. Yet therapeutic attempts at manipulating inflammation and fibrosis have had limited success. In this talk, I will present our computational and experimental systems biology research on cardiac inflammation and fibrosis. These studies include large-scale computational models of the intracellular signaling networks of multiple cardiac cell types, experimental drug screens, and new methods that fuse mechanistic and machine learning approaches to understand how these drugs work. Our computational models are validated with new experiments in cells and mice.

Speaker Bio

            Dr. Jeff Saucerman is a Professor of Biomedical Engineering and Professor of Cardiovascular Medicine at the University of Virginia. He leads a research group in cardiac systems biology, focused on identifying and controlling the molecular networks involved in heart failure. He received a B.S. in Engineering Science from Pennsylvania State University, Ph.D. in Bioengineering from the University of California San Diego, and completed a postdoctoral fellowship with Dr. Donald Bers at Loyola University Chicago. Dr. Saucerman has received several awards including an NSF CAREER Award, Fellow of the American Heart Association and American Institute of Medical and Biological Engineering, the Dean’s Excellence in Teaching Award, and the Vivian Pinn Scholar Award.