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  • MIT
  • Cambridge

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@SECQUOIA

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ZedongPeng/README.md

Hi there ๐Ÿ‘‹

I am a postdoctoral associate at MIT Sloan School of Management. My current research focuses on developing scalable and efficient computational approaches to enhance decision-making in complex systems, including

  • GPU-accelerated algorithm design and implementation for Linear Programming.
  • Algorithm design and implementation for Mixed-Integer Nonlinear Programming.
  • Applications in online advertising, supply chain, finance, and energy systems.

I am a strong advocate of open-source and high-performance optimization tools. I have developed and maintain several widely used solvers and libraries, including:

Pinned Loading

  1. MIT-Lu-Lab/cuPDLPx MIT-Lu-Lab/cuPDLPx Public

    A GPU-Accelerated First-Order LP Solver

    Cuda 115 12

  2. MIT-Lu-Lab/MPAX MIT-Lu-Lab/MPAX Public

    Mathematical Programming in JAX

    Python 138 6

  3. pyomo pyomo Public

    Forked from Pyomo/pyomo

    The main repository for the Pyomo optimization modeling software.

    Python 3

  4. SECQUOIA/Convexification-based-OA-Benchmark SECQUOIA/Convexification-based-OA-Benchmark Public

    Benchmark results of convexification-based OA method

    HTML 1