Summary
Suhas Jain is an Assistant Professor of Mechanical Engineering at Georgia Tech and director of the Flow Physics and Computational Science Lab, where he develops physics-based models and robust numerical methods for multi-scale, multi-physics fluid problems. With 13 years of experience spanning top research centers—Stanford’s Center for Turbulence Research and multiple international labs—he combines high-performance computing and AI to tackle multiphase, turbulent, compressible, and fluid-structure interaction challenges. His work targets practical applications across energy, propulsion, aerospace, chemical and biomedical engineering, and climate science, often linking fundamental modeling to real-world design problems. Suhas has a strong track record in predictive simulation (including ice accretion, particle-laden flows, and surfactant transport) and has built parallel AMR solvers and Eulerian FSI formulations early in his career. He brings rare depth in both rigorous numerical method development and hands-on HPC implementation, mentoring students to bridge theory and application. Based in Atlanta, he continues collaborations across combustion, machine learning, and data science institutes to translate flow physics into engineering impact.
12 years of coding experience
1 year of employment as a software developer
Bachelor of Technology (BTech), Mechanical Engineering, 9.47/10.0, Bachelor of Technology (BTech), Mechanical Engineering, 9.47/10.0 at National Institute of Technology Karnataka
Class 12, Physics,chemistry ,Mathematics, Class 12, Physics,chemistry ,Mathematics at Vidya Vardhaka Sangha Sardar Patel PU College
Doctor of Philosophy (Ph.D.), Mechanical Engineering, 4.17/4.0, Doctor of Philosophy (Ph.D.), Mechanical Engineering, 4.17/4.0 at Stanford University
Kannada, Hindi, English