Alex Kuefler is a senior research scientist with 11 years of experience building deep learning systems for behavior prediction, computer vision, and robotic manipulation. Currently at Waymo, he focuses on generative deep learning for behavior prediction and simulated agents, with work featured at ICRA and IROS. His background blends applied research and product-facing engineering—at Element AI he used Unity and synthetic data to improve video search, and at OSARO he delivered perception and grasping systems for physical robots that gained media attention. He holds an M.S. from Stanford where his thesis and publications explored deep reinforcement learning for modeling human driving behavior, and he has authored multiple peer-reviewed papers and patent applications. Comfortable shipping with TensorFlow and PyTorch in simulation-heavy workflows, he combines academic rigor with practical deployment experience across simulation engines (Unity, Unreal) and production tooling.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Major: Cognitive Science, Minor: Computer Science, Bachelor’s Degree, Major: Cognitive Science, Minor: Computer Science at Occidental College
Master’s Degree, Symbolic Systems, Master’s Degree, Symbolic Systems at Stanford University
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