Kevin Yang
Research Scientist at Scaled Cognition
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKevin Yang is a research scientist at Scaled Cognition with seven years of experience bridging academic AI research and real-world LLM applications. A Berkeley PhD student advised by Dan Klein and an MIT alum, he focuses on structured planning, control, and alignment/instruction-tuning to improve long-context natural language generation and safety. His work spans industry research roles at Meta and Microsoft, where he tackled long-range factual consistency, planning/outlining, RLHF, and privacy-aware multiturn semantic parsing. Kevin has a strong track record of turning research into production-ready systems across challenging text datasets and business use cases. He also brings a quantitative background from internships in financial modeling and competitive mathematics coaching, reflecting a knack for rigorous problem formulation and practical impact.
7 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of California, BerkeleyMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Massachusetts Institute of Technology
English, Chinese, Spanish, Japanese
Github Skills (48)
molecule10
drug-discovery10
machine-learning10
chemistry10
message-passing10
deep-learning10
prediction10
proteins10
python9
distributed-computing9
starcraft9
graph9
gpu9
graph-convolutional-networks8
scale8
Programming languages (2)
Github contributions (5)
yangkevin2/neurips2021-lap3
Jun 2021 - Feb 2022
Contributions:16 commits, 10 pushes, 1 branch in 7 months
yangkevin2/naacl-2021-fudge-controlled-generation
Apr 2021 - Aug 2022
Contributions:15 commits, 13 pushes, 1 branch in 1 year 4 months
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