Jayant Mukhopadhaya
Senior Aviation Researcher
United States
Summary
🤩
Rockstar🎓
Top SchoolJayant Mukhopadhaya is a senior aviation researcher with eight years of experience bridging aerospace research and practical design to decarbonize aviation through hydrogen- and electric-powered aircraft. He holds an M.S. and Ph.D. in Aeronautics and Astronautics from Stanford and a B.S. in Mechanical Engineering from Cornell, and his doctoral work produced a virtual flight-testing framework that fuses multi-fidelity data and quantifies simulation uncertainty. At ICCT he translates those advanced modeling techniques into policy-relevant feasibility studies, and his prior work at Stanford and Aerion strengthened industry-grade tools for RANS optimization and probabilistic aerodynamic databases. An active contributor to the SU2 open-source CFD suite, he implemented uncertainty-quantification features and physics fixes for turbulence modeling, improving accuracy and convergence in production code. Known for combining rigorous uncertainty-aware simulation with hands-on code contributions, he brings both deep theoretical understanding and practical software engineering to tackle real-world aviation decarbonization challenges.
8 years of coding experience
7 years of employment as a software developer
International Baccalaureate (IB) Diploma, 39- IB Grade: 0 (worst) to 45 (best), International Baccalaureate (IB) Diploma, 39- IB Grade: 0 (worst) to 45 (best) at The Doon SchoolBachelor of Science (B.S.), Mechanical Engineering, 3.96 Grade Point Average: 0.0 (worst) to 4.3 (best), Bachelor of Science (B.S.), Mechanical Engineering, 3.96 Grade Point Average: 0.0 (worst) to 4.3 (best) at Cornell UniversityDoctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at Stanford University
English, Hindi
Github Skills (7)
cfengine10
c-language10
cfc10
physics10
cprogramming-language10
cfml10
hpc9
Programming languages (7)
Github contributions (5)
su2code/SU2
Aug 2017 - Apr 2021
SU2: An Open-Source Suite for Multiphysics Simulation and Design
Role in this project:
Back-end Developer and Physics/CFD Engineer
Back-end Developer and Physics/CFD EngineerContributions:11 reviews, 446 commits, 19 PRs in 3 years 8 months
Contributions summary:Jayant primarily focused on implementing and modifying features related to Uncertainty Quantification (UQ) within the SU2 framework, specifically for the SST turbulence model. Their contributions include adding configuration options to enable UQ, implementing a UQ methodology using values at cell faces, and incorporating under-relaxation to improve convergence. Furthermore, they made fixes to the production term and dissipation, suggesting a focus on accuracy within the CFD simulations. The user's work is deeply related to the core functionality of the SU2 code base, as well as contributing to the physical modeling in the CFD/Physics space.
physicsmultiphysics-simulationpythoncfdsnl-applications
jayantmukho/phd_thesis
Jul 2020 - Jun 2021
Contributions:132 pushes, 103 branches in 10 months
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