Weinberg Lab for Computational Physiology

Weinberg Lab for Computational Physiology

Welcome to the Computational Physiology Lab!

Our lab research is focused on developing novel computational tools and methods to understand physiology and disease and develop new therapies.  Our research spans a wide range of physiological areas and topics, including electrophysiologymulticellular and subcellular signaling pathways, and mechanobiology. We study healthy normal physiological functioning and diseases and pathologies, including cardiac arrhythmias, fibrosis, and cancer.  In our lab, we use multiscale biophysical models and machine learning tools to study complex physiology and pathophysiology

Computational modeling is a multidisciplinary field, combining tools from engineering, data science, biology, mathematics, physics, chemistry, and computational science. Over the past few decades, computational modeling has become an invaluable counterpart to experimental physiology and a powerful tool for predictive medicine – using models to understand and predict biological dynamics during health and disease to identify new therapies.

Accordions

News
Post Doctoral Scholar Spotlight: Mario Mendez, PhD
Weinberg named Associate Dean for Research
Moise awarded American Heart Association Postdoctoral Fellowship
Madison's paper published the Journal of Molecular & Cellular Cardiology
Dr. Weinberg's paper published in Biomechanics and Modeling in Mechanobiology
Vrishti's paper published in Chaos
Dr. Weinberg presents in ISHR Virtual Seminar Series
Tien's paper published in CNSNS

Funding

Funding by:  National Institutes of Health; National Heart, Lung, and Blood Institute; NIGMS

Principal Investigator

Post-doctoral Research Associates

Graduate Students

Undergraduate Students

Brianna Mallare

Jake Miller