Summary
Aditya Ponnaluri is a Staff Analysis Engineer in the San Francisco Bay Area with 11 years of experience bridging academic research and industry-scale CAE at Tesla and Amazon Lab126. He holds a PhD in Mechanical Engineering from UCLA and has led development of two in-house finite element codes and an open-source multiphysics solver (voom2), applying variational methods to biomechanics and heart electrophysiology. His background spans multiphysics FEA, crash and safety simulations, and numerical methods, complemented by four years of hands-on teaching in solid mechanics and programming. Notably, he secured substantial industry funding and translated biomechanical research into practical design—developing lattice helmet padding validated with simulation and manufacturing partners. Comfortable in C++, MATLAB, Python and commercial tools like ABAQUS/DYNA, he brings a rare combination of deep numerical rigor, software engineering, and cross-disciplinary collaboration with clinicians and material scientists.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at University of California, Los Angeles