Shi Feng
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolShi Feng is a PhD student in Computer Science at Harvard University whose work bridges economics and AI, focusing on information elicitation, mechanism design, and the reliability and reasoning of large language models. Trained in Tsinghua’s rigorous “Yao” Class and with multiple research internships at Microsoft Research Asia and Harvard SEAS, he combines theoretical foundations in learning and decision-making with hands-on experiments on model planning and collective intelligence. His background in mathematical Olympiad training and award-winning internships signals a strong problem-solving bent and a knack for translating economic principles into robust data-quality and coordination mechanisms for ML systems. Based in Boston, he brings seven years of research experience and a rare blend of theory-driven rigor and practical research impact.
6 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Harvard John A. Paulson School of Engineering and Applied SciencesDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard UniversityBachelor of Engineering - BE, Computer Science and Technology, Bachelor of Engineering - BE, Computer Science and Technology at Tsinghua UniversityHigh School Diploma, Mathematical Olympiad, High School Diploma, Mathematical Olympiad at Wuhan No.2 High School
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
autoencoder10
machine-translation8
datasets8
reinforcement-learning8
machine-learning7
deep-learning7
pytorch6
tensorflow5
causal4
tpu4
workspace3
causal-inference2
Programming languages (3)
Github contributions (5)
fengtony686/fengtony686.github.io
Jul 2019 - Sep 2021
blog
Contributions:1 PR, 217 pushes, 4 branches in 2 years 1 month
fengtony686/PythonWorkSpace
Jun 2019 - Apr 2020
my workspace
Contributions:4 PRs, 43 pushes, 5 branches in 10 months
workspace
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