Zoox
Trey Weber is a Software Engineer specializing in Trajectory Generation at Zoox since December 2024. Previously, Trey served as a Graduate Researcher at Stanford University from June 2018 to November 2024, earning a PhD in Mechanical Engineering with a dissertation focused on automated vehicle dynamics. Trey also contributed to the field as an Undergraduate Researcher at various institutions, including Stanford University, where trajectory planning for autonomous vehicles was studied, and UCLA, which involved Monte Carlo modeling of electron emission yields. Trey’s early research experience at Caltech included static aeroelasticity and the finite difference method for aerospace applications.
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Zoox
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Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.