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Maria Terres

Data Scientist and Statistician at Waymo

Maria Terres is a highly skilled staff data scientist at Waymo, playing a pivotal role in the development of autonomous driving software.

With a strong academic background including a Ph.D. in statistics from Duke University, Maria excels in Bayesian methods, spatial modeling, and machine learning.

Her expertise extends to data visualization, data analysis, and mentoring junior researchers, making her a valuable asset in any data-driven organization.

Prior to her current role at Waymo, Maria held positions such as Senior Data Scientist at Waymo, Senior Quantitative Researcher at The Climate Corporation, and Postdoctoral Researcher in Statistics at NC State University.

Her diverse experience also includes roles at Zurich Insurance plc, CSIRO, and Bureau of Land Management, where she honed her skills in mathematics, informatics, and statistics.

Maria's educational journey includes a Certificate in College Teaching from Duke University Graduate School, an MA from Columbia University in the City of New York, and a BA from Bard College at Simon's Rock, showcasing her commitment to continuous learning and growth.

Highlights

Aug 1 · linkedin

If you're attending the Joint Statistical Meetings (JSM) next week in Toronto, please come to our invited session on Big Data with Rare Events! In particular, I'll be overviewing our recent Waymo publication, outlining a strategy to estimate occurrence rates for rare events in autonomous driving data.

If you're attending JSM and want to learn more about autonomous vehicles, please send me a message and I can put you in touch with one of our Waymo attendees! 

#JSM2023 #statistics #DataScience #AutonomousVehicles #waymo

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Location

San Francisco, California, United States