Summary
Blake Tickell is Head AI Engineer based in Berkeley with a decade of experience blending machine learning research and production engineering across robotics, neuroscience, and climate science. A UC Berkeley graduate in CS and Statistics (with additional physics background), he has led ML initiatives at Vayuh.ai while contributing research at MIT CSAIL and the Redwood Center for Theoretical Neuroscience on sim-to-real and biologically informed learning. His work spans applied deep learning for robotics, tooling and pipelines for creative production (Unreal/Disney Imagineering), and data visualization for large research ecosystems, showing comfort shifting between research prototypes and deployed systems. Notably, he pairs theoretical rigor with hands-on engineering—integrating simulated learning with real robotic platforms and applying AI to climate problems at LBL—making him effective at translating cutting-edge research into practical impact.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at University of California, Berkeley