Kangrui Wang
Research Intern at Microsoft
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolKangrui Wang is a CS PhD candidate at Northwestern with five years of hands-on research experience across top US institutions and industry labs. Currently a Research Intern at Microsoft, he has held research roles at Stanford CS, TTIC, and the University of Chicago, bridging theory and applied systems in machine learning and computer science. He progressed rapidly from undergraduate research at Shanghai Jiao Tong to graduate research positions, demonstrating a track record of contributing to cutting-edge projects and collaborations. Kangrui’s profile reflects both academic rigor and practical impact—comfortable publishing and prototyping in fast-moving research environments. Based in Chicago, he combines deep technical training with the ability to translate research ideas into engineering prototypes at scale. Colleagues describe him as a curious problem-solver who thrives at the intersection of theory, experimentation, and real-world systems.
4 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Northwestern UniversityMaster's degree, Computer Science, Master's degree, Computer Science at University of ChicagoBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Jiao Tong University
Github Skills (7)
robot-simulator10
simulation9
robotics8
benchmarking3
benchmark3
python1
pypi1
Programming languages (3)
Github contributions (5)
embodied-agent-interface/embodied-agent-interface
Sep 2024 - Nov 2024
Embodied Agent Interface (EAI): Benchmarking LLMs for Embodied Decision Making (NeurIPS D&B 2024 Oral)
Contributions:6 PRs, 99 pushes, 5 branches in 2 months
JamesKrW/JamesKrW.github.io
Oct 2022 - Aug 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:41 pushes, 1 branch in 1 year 9 months
templategithub-pages-templatemmistakesmistakesjekyll
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