Tim Allan Wheeler

I am a PhD candidate at Stanford working on automotive artificial intelligence. My research focuses on human behavior models, decision making, and methods for validating the safety of autonomous cars. I employ decision making theory, deep learning, reinforcement learning, imitation learning, and Bayesian statistics to extend the state-of-the-art.

Academic CV

Head of SISL Automotive

Lead grad student for the Stanford Intelligent Systems Laboratory Automotive group. We conduct research in autonomous driving and advanced safety systems.

2014 - Present

Visiting Student Researcher

Technical University Darmstadt. Stochastic deep radar models.

Fall 2016

Bosch Autonomous Driving Intern

Automotive trajectory prediction and collision avoidance. Probabilistic planning and validation.

Summer 2014

Stanford AeroAstro PhD student

Establishing trust in autonomous vehicles via a scientific, unified, transparent framework to optimize and evaluate active driving systems. Advised by Prof. Mykel Kochenderfer.

2013 - present

SpaceX Dynamics Intern

Falcon 9 stage separation, Crew Dragon buffet loads, Falcon 9 transportation loading instrumentation, modal testing, coupled loads analyses.

Summer 2012 & 2013

University of California, San Diego

B.S. in Aerospace Engineering with a minor in Mathematics. Graduated summa cum laude.

2009 - 2013

Bio I am currently a 4th year Aerospace Engineering PhD student at Stanford, working with Prof. Mykel Kochenderfer in the Stanford Intelligent Systems Laboratory. My research centers around automotive artificial intelligence, decision making, and safety assessment. In particular, I am interested in measuring how safe an autonomous car is and how to optimize its safety. I work in close collaboration with Bosch on human driver modeling and have recently taken to deep learning. I am a Burt and Deedee McMurtry Stanford Graduate Fellow.