Summary
Michael Gussert is a Senior Research Engineer with nine years of hands-on experience building embodied AI, simulation-to-reality pipelines, and neuro-inspired vision systems, now applying that expertise to cinematic VFX at Wētā FX. He spent a decade at NVIDIA developing models of mammalian cognition, foveated vision grounded in V1 mechanics, and early sim-to-real methods for Omniverse and Isaac Sim, while authoring tutorials and teaching labs on simulation and reinforcement learning. His background in experimental physics (MS/PhD) and particle astrophysics gives him a rare blend of rigorous analytical modeling and practical systems engineering, from C++ DAQ and spectral-analysis tools to PyTorch implementations of graph-theoretic generalization experiments. Known for prototyping high-impact demos (e.g., reinforcement agents and perception pipelines showcased at SIGGRAPH/GTC) and mentoring teams, he thrives at the intersection of research, production engineering, and applied neuroscience-inspired AI.
9 years of coding experience
20 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Michigan Technological University
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Colorado State University
English, c/c++, python, java, fortran, perl, bash