Summary
Xinyan Yan is a software engineer and robotics researcher with 13 years of experience, currently building planning and control for self-driving vehicles at Aurora. She combines deep academic expertise—a PhD in Robotics from Georgia Tech and publications at ICML, RSS, CoRL and ICRA—with practical industry experience from internships at Google Brain Robotics, Honda Research Institute, DAQRI, and Oak Ridge National Laboratory. Her work spans imitation learning, stochastic model predictive control, SLAM, sparse Gaussian processes, and large-scale ML, with a current focus on leveraging human demonstrations to tackle high-dimensional sequential decision problems. Known for translating theory into real-time systems, she has a track record of shipping algorithms grounded in probabilistic modeling and system identification. Based in El Paso, she brings both rigorous research instincts and production-oriented engineering to autonomy challenges.
13 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, GPA: 3.84, Master of Science - MS, Computer Science, GPA: 3.84 at Georgia Institute of Technology
Bachelor of Science - BS, Information Security Engineering, Bachelor of Science - BS, Information Security Engineering at Shanghai Jiao Tong University