Sally Goldman
Sally joined Google Research in 2008. She holds a PhD from MIT, where she worked under the supervision of Ron Rivest. After completing her dissertation in computational learning theory, Sally was a professor and Associate Chair at Washington University in St. Louis. At Google, she focuses on recommender systems, conversational recommenders, and UX research related to recommenders. Sally has also dedicated time to teaching machine learning to underrepresented groups as an academic lead for Tech Exchange and Curriculum Committee and AI Studio lead for Breakthrough Tech AI.
Authored Publications
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Google
Data Bootstrapping for Interactive Recommender Systems
Ajay Joshi
Ajit Apte
Anand Kesari
Anushya Subbiah
Dima Kuzmin
John Anderson
Li Zhang
Marty Zinkevich
The 2nd International Workshop on Online and Adaptive Recommender Systems (2022)
Google Tech Exchange: An Industry-Academic Partnership That Prepares Black and Latinx Undergraduates for High-Tech Careers
Alycia Onowho
Ann Gates
April Alvarez
Bianca Francesca Okafor
Gloria Washingon
Harry Keeling
Jean M Griffin
Legand Burge
Mary Jo Madda
Shameeka Scott Emanuel
Consortium for Computing Sciences in Colleges - Southwest (2020), pp. 6-8
