Yatong Chen
Research Group Leader at Max Planck Institute for Intelligent Systems
California, United States
Summary
👤
Senior🎓
Top SchoolYatong Chen is a research group leader and PhD-trained computer scientist with nine years of research experience at the intersection of machine learning, statistics, combinatorial optimization, and graph theory. His work focuses on responsible ML and sequential decision making, particularly algorithmic fairness, incentives, interpretability, and robustness, with a track record of producing theory, algorithms, and human-subject experiments aimed at practical deployability. He has held research roles at UC Santa Cruz, Stanford, Google, and now leads a group at the Max Planck Institute for Intelligent Systems, reflecting strong academic and industry collaboration. Trained in statistics at Stanford and with dual undergraduate degrees in economics and engineering from Peking University, he brings a multidisciplinary perspective that surfaces practical incentives and societal considerations in algorithm design.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at BiMBA at Peking UniversityBachelor of Engineering (B.E.) Energy and Resources Engineering, Bachelor of Engineering (B.E.) Energy and Resources Engineering at Peking UniversityUniversity of California Santa CruzMaster of Science - MS Statistics, Master of Science - MS Statistics at Stanford University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
qr-decomposition6
julia2
machine-learning1
linear-algebra1
Programming languages (2)
Github contributions (5)
YatongChen/decoupled_smoothing_on_graphs
Feb 2019 - May 2019
Contributions:38 commits, 3 pushes in 2 months
YatongChen/YatongChen.github.io
Oct 2019 - Mar 2026
Contributions:90 pushes in 6 years 5 months
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