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Princeton Robotics Seminar: Data-Centric ML for Autonomous Driving

Date and Time
Friday, October 14, 2022 - 11:00am to 12:00pm
Location
Computer Science Small Auditorium (Room 105)
Type
Princeton Robotics Seminar
Speaker
Sarah Tang, from Waymo

Sarah Tang
Waymo is building the "World's Most Experienced Driver". This talk will discuss data challenges that arise when scaling machine learning systems with almost 1500 years worth of real-life human driving.

Bio: Sarah is passionate about building robots that make intelligent decisions in complex, dynamic environments. She is currently a Staff Software Engineer on the Planner ML team at Waymo, where she is working to make driving safer, smarter, and more scalable with high-capacity models. In previous lives, she was the Tech Lead and Manager of the Motion Planning team at Nuro, where she led development of the decision making and trajectory optimization stack for major product milestones, including autonomous operation of their last-mile delivery robot without a driver nor a chase-car-operator in Arizona, California, and Texas. She was recognized in Business Insider’s 2021 list of “Rising stars in autonomous vehicles”. Sarah got her start in robotics as a member of Princeton's Great Class of 2013. 

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