Dasong Gao
Graduate Research Assistant
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolDasong Gao is a PhD candidate and graduate research assistant at MIT with nine years of research and engineering experience at the intersection of algorithm-hardware co-design and energy-efficient robot perception. He holds an MS in Machine Learning from Carnegie Mellon and a BS in Math & Computer Science from UW–Madison, and has worked on SLAM, deep learning, and computational imaging across labs and industry internships. Dasong contributes to open-source robotics tooling—improving documentation and Sphinx builds for the differentiable-robotics library pypose—reflecting a focus on clear, reproducible research. He combines theoretical ML training with hands-on systems work, often translating complex vision and lifetime-imaging techniques into practical software and research prototypes.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering and Computer Science, Doctor of Philosophy - PhD, Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyBachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at University of Wisconsin-MadisonHigh School Diploma, High School Diploma at No.1 High School of GuiyangMaster of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Carnegie Mellon University
Github Skills (6)
autodoc10
sphinx10
documentation10
python9
pytorch4
robotics3
Programming languages (11)
Github contributions (5)
pypose/pypose
Jan 2022 - Sep 2022
A library for differentiable robotics on manifolds.
Role in this project:
Technical Writer
Technical WriterContributions:7 reviews, 39 commits, 2 PRs in 8 months
Contributions summary:Dasong primarily contributed to the project by adding documentation, including setting up Sphinx for building the documentation and creating initial documentation pages. These changes included configuring the documentation build process, creating the necessary files, and adding content for the project's core concepts like the LieGroup. Furthermore, the user also corrected documentation-related warnings, refined docstrings, and fixed typos to enhance the overall quality of the documentation.
roboticspytorchpythonlie-groupoptimization
pypose/pypose.github.io
Dec 2021 - Feb 2023
Contributions:542 commits, 14 PRs, 279 pushes in 1 year 2 months
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