Zhen Chen
Research Scientist at Tsinghua University
Beijing, China
Summary
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SeniorZhen Chen is a lab director and computer systems researcher with 12 years of professional experience leading the Computer Systems for Smart Systems (CSSS) group at Tsinghua University, where he supervises undergraduates and graduates across deep learning, data management, and computer networks. He combines rigorous academic training (PhD from Xidian University) with hands-on systems work, spanning theory-driven algorithm design and practical implementations for smart and networked systems. His research and teaching portfolio includes machine intelligence, data management, and networking, and he has a history of visiting and collaborating with international groups such as ICSI/UC Berkeley. Beyond academia, he contributes code as a full-stack developer—his GitHub shows Python projects that explore numerical methods and visualizations, reflecting a fondness for both core algorithms and educational tooling. Colleagues know him as a systems-focused mentor who translates complex research topics into teachable, implementable solutions for real-world smart systems.
12 years of coding experience
Github Skills (6)
mathematics10
jupyter-notebook10
math10
python10
algorithms9
html7
Programming languages (4)
Github contributions (5)
saturn-lab/MEE-CC07
Sep 2019 - Apr 2021
CC07-单元
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:266 commits, 91 PRs, 231 pushes in 1 year 7 months
Contributions summary:Zhen primarily contributed to a project involving the calculation of Pi using various methods, implemented in Python. They added code for Monte Carlo, Taylor series, Chudnovsky formula, and iterative methods, along with a visualization function. They also worked on list and dictionary exercises in Python, showcasing an understanding of core data structures. Furthermore, the user updated and renamed an HTML file and made changes to a webpage.
javascriptnodejs
saturn-lab/BDMI-2020A
Sep 2020 - Feb 2021
Big Data and Machine Intelligence, Autumn 2020.
Contributions:1 release, 310 commits, 17 PRs in 5 months
pythondata-sciencedeep-learningautumnmachine-learning
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