sun shuo
Postdoctoral Associate
Singapore
Summary
🤩
Rockstar🎓
Top SchoolSun Shuo is a robotics researcher and engineer with nine years of experience advancing autonomous systems and human–AI collective intelligence, currently a Postdoctoral Associate at SMART and an Affiliated Researcher at MIT's Center for Collective Intelligence. He holds a PhD in Robotics from NUS and has a background spanning project engineering, tutoring, and industry internships in autonomous vehicles and memory systems at Micron. His work bridges theory and practice—implementing novel CFR algorithms in the popular OpenSpiel framework and validating them with game examples—demonstrating strengths in reinforcement learning and algorithm engineering. He focuses on designing intelligent systems that augment human potential and prepare the future workforce, bringing interdisciplinary rigor from Mens Manus Machina (M3S). Colleagues appreciate his ability to move ideas from prototype to reproducible code and to communicate complex multi-agent concepts to diverse teams.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at National University of Singapore
Chinese, English
Github Skills (11)
algorithm10
data-structures10
algorithms10
python10
reinforcement-learning10
data-structure10
videogames9
multi-agent9
cpp9
coregames9
tensorflow4
Programming languages (4)
Github contributions (5)
google-deepmind/open_spiel
Sep 2019 - Dec 2019
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Role in this project:
ML Engineer
ML EngineerContributions:14 commits, 2 PRs, 22 comments in 2 months
Contributions summary:Sun implemented and tested novel discounted CFR (DCFR) and linear CFR (LCFR) algorithms within the OpenSpiel framework. Their work included creating new classes for DCFR and LCFR, modifying existing CFR implementations, and adding relevant comments for better understanding. Furthermore, the user integrated the new algorithms with existing example code to validate their functionality, and also created a Goofspiel example for DCFR. The user also fixed a robust issue in the policy gradient implementation.
cppmultiagentgamespythondatamining
TradeMaster-NTU/fintech-literature
Jun 2021 - Apr 2022
Contributions:185 commits, 180 pushes, 1 branch in 9 months
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