Yangyang Fu is a research engineer with a PhD and 10 years’ experience applying machine learning to autonomous systems, from self-driving vehicles to distributed energy platforms. He specializes in multi-modal transformers, differentiable model predictive control, and end-to-end motion planning, and has a track record of moving algorithms into real-time embedded deployments (STM32, C++/CUDA, quantized NN distillation). His work at universities and industry includes benchmarking state-of-the-art autonomous agents, building hardware-in-the-loop testbeds, and achieving resilient control that recovered from 96% of simulated attacks or failures. Based in Dallas, he blends deep academic rigor with product-minded engineering, accelerating RL training via distilled heuristics and delivering production-ready control stacks for safety-critical systems.
10 years of coding experience
5 years of employment as a software developer
Master of Science (MS), Mechanical Engineering, Master of Science (MS), Mechanical Engineering at Tongji University
Doctor of Philosophy - PhD, Architectural Engineering, Doctor of Philosophy - PhD, Architectural Engineering at University of Colorado Boulder
Contributions:4 PRs, 234 pushes, 27 branches in 4 years 11 months
buildingsmodelica
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Yangyang Fu - Research Engineer at Lennox International