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Stephen Tu
Research Scientist at Google
Stephen Tu is a highly accomplished researcher and academic in the field of computer science and engineering. He currently holds the position of Assistant Professor in the Department of Electrical and Computer Engineering at the University of Southern California.4
Career Highlights
Prior to his current role, Stephen Tu worked as a Research Scientist at Google from September 2019 to 2023, specifically in the Google DeepMind robotics team based in New York City.26 His research at Google focused on learning to control applications in robotics, and he was involved in open-sourcing and maintaining trajax, a differentiable optimal control library.3
Educational Background
Stephen Tu has an impressive educational background:
- Ph.D. in Electrical Engineering and Computer Sciences (EECS) from the University of California, Berkeley (2014-2019)23
- Master's Degree in Computer Science from MIT (2011-2014)2
- B.A. in Computer Science and B.S. in Mechanical Engineering from the University of California, Berkeley (2006-2010)2
Research Interests
Tu's research interests lie at the intersection of machine learning, optimization, and control theory. His recent work has focused on developing a principled understanding of using machine learning models for data-driven control, with specific emphasis on applications in robotics.3
Achievements and Recognition
- Awarded a 2018 Google Fellowship during his Ph.D. studies at UC Berkeley1
- Has published numerous papers in prestigious conferences and journals, including ICML, SOSP, and VLDB3
- Maintains an active presence in the academic community, with over 6,500 citations on Google Scholar5
Stephen Tu's LinkedIn username is indeed stephentu1, as mentioned in the query.2