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Yuyan Wang
Research Engineer at Netflix
Yuyan Wang is currently a Research Engineer at Netflix, based in Los Gatos, California.34 She has a strong background in machine learning, data science, and marketing, with expertise in areas such as Natural Language Processing (NLP), Machine Learning, Data Mining, Causal Inference, and Python.4
Career Trajectory
Prior to joining Netflix, Yuyan Wang had an impressive career path:
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Assistant Professor: As of July 1, 2023, she joined Stanford Graduate School of Business as an Assistant Professor of Marketing.15
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Google Brain: From October 2019 to May 2023, she worked as a Senior Research Engineer at Google Brain.12 During this time, she focused on machine learning research to understand long-term user journeys on personalized platforms and optimize long-term values for Google recommendation products.2
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Uber Technologies: From September 2016 to September 2019, she was an Applied Scientist at Uber.1 At Uber, she was a tech lead on Uber Eats home feed ranking and recommendation, and a founding member of the Uber Eats Data Science team.1
Education
Yuyan Wang has a strong educational background:
- Ph.D. in Statistics from Princeton University (September 2012 - June 2016)1
- B.S. Honors in Statistics from the University of Science and Technology of China (USTC), where she was part of the Special Class for the Gifted Young (September 2008 - July 2012)1
Notable Achievements
Throughout her career, Yuyan Wang has made significant contributions:
- Developed frameworks for identifying consumer behavior patterns and optimizing long-term consumer experiences in recommender systems1
- Created personalized multi-objective optimization frameworks for Uber Eats restaurant recommendations, resulting in significant increases in consumer retention and revenue1
- Her work at Uber was patented and deployed globally, with media coverage and internal recognition1
Yuyan Wang's diverse experience in academia and industry, coupled with her expertise in machine learning and data science, positions her as a notable figure in the field of recommendation systems and personalized platforms.
