Tianmin Shu
Assistant Professor at The Johns Hopkins University
Beverly Hills, California, United States
Summary
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Senior🎓
Top SchoolTianmin Shu is an Assistant Professor at Johns Hopkins University with nine years of research experience at the intersection of artificial intelligence and computational cognitive science. Previously a postdoc at MIT and a PhD-trained statistician from UCLA, he has deep expertise in social AI, multi-agent and hierarchical reinforcement learning, and human-robot interaction developed through internships at FAIR and Salesforce Research. His work blends rigorous probabilistic modeling with applied social-scene understanding, often translating cognitive theories into scalable computational models. Based in Beverly Hills, he brings a rare combination of statistical training and hands-on systems experience from projects ranging from camera-array video stitching to aerial and social scene analysis. Notably, his trajectory shows a consistent focus on multi-agent social cognition—bridging lab-based theory and real-world interactive AI systems.
9 years of coding experience
11 years of employment as a software developer
Bachelor's degree Electronic Engineering, Bachelor's degree Electronic Engineering at Fudan UniversityUniversity of California, Los Angeles
English, Chinese
Github Skills (39)
leaderboard10
evaluation9
coveralls9
travis-ci9
codecov9
angularjs9
scroll8
django8
mechanical-turk8
malmo8
trend8
artificial-intelligence8
reproducible-research8
minecraft8
machine-learning7
Programming languages (4)
Github contributions (5)
MicroSTM/AGENT-synthesis
Jul 2021 - Mar 2022
Contributions:4 commits, 3 pushes, 1 branch in 7 months
MicroSTM/virtualhome
Nov 2019 - Mar 2024
API to run VirtualHome, a simulator to generate videos of human activities
Contributions:3 pushes in 4 years 4 months
apivideoshuman-activitiesvirtualhomesimulator
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