Guangya Wan
Student Researcher at Google
Charlottesville, Virginia, United States
Summary
👤
Senior🎓
Top SchoolGuangya Wan is a PhD candidate in Data Science and an LLM agent researcher with eight years of industry and research experience across Waymo, Google, and academic labs. He focuses on LLM reasoning, agent frameworks, and the intersection of agents with autonomous vehicle planning, bringing a rare blend of large-model expertise and real-world robotics research. His background spans biostatistics and computer science—MS from Harvard T.H. Chan and coursework at MIT—informing a rigorous, data-driven approach to agent memory and skill design. At Google he worked on deep research agents and memory systems, and he now applies those techniques to AV planning at Waymo. Colleagues describe him as both hands-on in model and systems development and curious about cross-disciplinary applications, from healthcare ML to supercomputing research.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Harvard T.H. Chan School of Public HealthMassachusetts Institute of TechnologyUniversity of Illinois Urbana-ChampaignDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Virginia
Github Skills (4)
sentiment-analysis4
code-sharing4
nlp3
natural-language-processing2
Programming languages (2)
Github contributions (5)
ncsa/CPRHD_SES
Jul 2019 - Feb 2020
Contributions:66 commits, 56 pushes in 7 months
wan19990901/personal_website
Nov 2022 - Mar 2025
Contributions:2 PRs, 96 pushes, 2 branches in 2 years 4 months
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