Zedong Peng
Postdoctoral Associate
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolZedong Peng is an optimization researcher and practitioner with eight years of experience applying large-scale mathematical programming and GPU-accelerated solvers to real-world problems across online advertising, supply chain, finance, and petrochemical industries. Currently a Postdoctoral Associate at MIT after a postdoc at Purdue and industry research experience at JD.com, he bridges cutting-edge research with production-ready tooling. His contributions to the Pyomo project show hands-on expertise improving core solver accuracy and constraint handling in a widely used open-source algebraic modeling language. Trained with a PhD in Control Science and Engineering from Zhejiang University and a stint as a visiting scholar at Carnegie Mellon, he blends control theory, process systems engineering, and practical optimization. Known for turning complex mathematical formulations into scalable implementations, he often focuses on numerical robustness and real-time performance on GPUs—skills that make him effective at solving industry-scale optimization challenges.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Automation, Bachelor of Engineering - BE, Automation at Northeastern University (CN)Visiting Scholar, Process System Engineering, Visiting Scholar, Process System Engineering at Carnegie Mellon UniversityDoctor of Philosophy (PhD), Control Science and Engineering, Doctor of Philosophy (PhD), Control Science and Engineering at Zhejiang University
Github Skills (4)
optimization10
python10
mathematical9
modeling9
Programming languages (8)
Github contributions (5)
Pyomo/pyomo
Apr 2020 - Dec 2022
An object-oriented algebraic modeling language in Python for structured optimization problems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:173 reviews, 609 commits, 31 PRs in 2 years 8 months
Contributions summary:Zedong appears to be a back-end developer contributing to the Pyomo modeling language. Their commits primarily focus on bug fixes related to the calculation of right-hand-side values in cut generation and constraint handling within the MindtPy library. The code changes involve modifications to Python files, indicating a focus on improving computational accuracy and the core functionality of the optimization and modeling library.
pythonnonlinear-programmingstructuredgurobiproblems
ZedongPeng/pyomo
Mar 2020 - Feb 2025
The main repository for the Pyomo optimization modeling software.
Contributions:64 reviews, 41 PRs, 654 pushes in 5 years
pythonpyomooptimizationoperations-researchmodeling
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