Hao Fang
Research Scientist at Google DeepMind
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolHao Fang is a research scientist with 11+ years of experience in NLP and conversational agents, currently working on Gemini/Bard at Google DeepMind after leading LLM and chat efforts at Microsoft. He led the Sounding Board team that won the 2017 Alexa Prize and has shipped production dialogue systems and context-aware assistants for Outlook, Bing Chat and Microsoft Copilot. His work spans task-oriented dataflow frameworks, long-term conversational memory, hierarchical language-to-code decomposition, and efficient LLM evaluators, combining deep research with production engineering. Hao holds a PhD from the University of Washington and contributes full‑stack code to open-source projects like the Mini-Conf web app, reflecting a practical bent for end-to-end systems beyond core research.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical Engineering, 3.9, Doctor of Philosophy (PhD), Electrical Engineering, 3.9 at University of WashingtonMaster of Science (MS), Electrical and Computer Engineering, 4.0, Master of Science (MS), Electrical and Computer Engineering, 4.0 at University of AlbertaBachelor of Engineering (BEng), Information Engineering, Bachelor of Engineering (BEng), Information Engineering at Beijing University of Post and Telecommunications
Chinese, English
Github Skills (14)
python10
flask10
flask-ask10
javascript9
html9
css8
yaml7
eslint7
pretier7
prettify7
gnu-make6
makefile6
githubaction-workflow5
github-ci5
Programming languages (6)
Github contributions (5)
Mini-Conf/Mini-Conf
May 2020 - Jun 2020
Run a conference from your backyard.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:14 commits, 25 PRs, 37 pushes in 19 days
Contributions summary:Hao primarily contributed to the development of the `mini-conf` web application, focusing on both frontend and backend aspects. They implemented features, including the ability to search for papers, enhanced the UI, and integrated customizable elements. They also addressed project structure, added build processes, and improved overall code quality through formatting and linting.
backyard
hao-fang/hao-fang.github.io
Mar 2018 - Apr 2024
Contributions:39 pushes, 1 branch in 6 years 2 months
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