Rishabh Iyer is an accomplished Machine Learning Researcher at Atomic Industries, specializing in applying machine learning techniques to physics problems, including adjoint solvers and generative modeling. Previously, Rishabh worked as a Thermofluids Engineer at Mesodyne, focusing on thermal and combustion analysis and designing heat exchangers and oxygen sensor test rigs. Rishabh contributed to the propulsion team at the American Institute of Aeronautics and Astronautics of Northeastern University, utilizing thermofluids analysis for a liquid rocket engine project. Earlier experience includes a Mechanical Engineering Co-op at Massachusetts Materials Technologies, where Rishabh employed finite element analysis to redesign testing equipment. Rishabh's early work in simulation and design challenges involved rocket stabilization. Rishabh holds a Master of Science in Thermofluids Mechanical Engineering and a Bachelor of Science in Mechanical Engineering and Physics from Northeastern University.
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