Viatcheslav Gurev  Viatcheslav Gurev photo         

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Thomas J. Watson Research Center, Yorktown Heights, NY USA



Viatcheslav Gurev is a member of Multiscale Computational Modeling - Heart, Brain and Spinal Cord, leading the work on combining artificial intelligence and mechanistic modeling in biophysics. He has diverse expertise in applied mathematics, computer sciences, biophysics, and machine learning. Software applications developed by Viatcheslav Gurev are designed to execute parallel computations of biophysical models on supercomputers and to perform data analysis on modern machine learning platforms. He has authored multiple papers on computational modeling in biophysics and machine learning. In his current projects, Viatcheslav Gurev couples generative adversarial networks and biophysical models of heart mechanics and electrophysiology targeting a novel class of models for assisting the clinical management of complex diseases including arrhythmias, heart failure and hypertrophic cardiomyopathies and investigating novel strategies to leverage clinical information to simulate the course of disease and possible therapeutic outcomes.