Brian Gaudet is a Research and Development Engineer with eight years of current-focused experience applying meta reinforcement learning to high-fidelity flight control and guidance problems for hypersonic interceptors and planetary landings. As co-founder of DeepAnalytX and a longtime university researcher, he has pioneered deep RL approaches for realistic GN&C challenges, producing 50 publications, 20 patents and over 600 citations while delivering a NASA SBIR Phase I and other government-contracted work. His background spans mixed-signal and ASIC design—leading multiple multimillion-gate silicon projects and inventing clock-recovery and adaptive-equalization IP that entered production—giving him rare cross-domain expertise from chip floor-planning to flight systems. Based in Bishop, CA, he combines academic rigor with entrepreneurial drive to translate advanced machine learning into deployable aerospace guidance solutions.
Contributions:52 commits, 47 pushes, 1 branch in 3 years 9 months
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