Linwei Sang - Associate Professor

Linwei Sang

Associate Professor

Berkeley, California, United States

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Summary

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Senior

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Top School

Linwei Sang is an associate professor and energy systems researcher who blends artificial intelligence and operations research to advance sustainable power system analytics. With eight years of experience spanning research roles at Tsinghua University, DAMO Academy, and a visiting scholar stint at UC Berkeley, he focuses on applying LLMs and advanced optimization to intelligent decision-making in grids. He holds top academic credentials from Southeast University and is a PhD candidate in Electrical Engineering at Tsinghua, reflecting strong theoretical grounding paired with applied research. Based in Berkeley while holding an academic appointment at Southeast University, he bridges Chinese and U.S. research ecosystems to accelerate real-world impact. Less obvious: his recent work integrates large language models into decision pipelines for power systems, signaling a novel convergence of AI-driven reasoning and traditional operational methods.

8 years of coding experience

3 years of employment as a software developer

Visiting Scholar, Visiting Scholar at University of California, Berkeley

Master of Engineering, Electrical Engineering, 3.8/4.0, Master of Engineering, Electrical Engineering, 3.8/4.0 at Southeast University

PhD candidate, Electrical Engineering, PhD candidate, Electrical Engineering at Tsinghua University

Github Skills (10)

stochastic8

constrained-optimization7

optimisation6

optimization5

simulated-annealing4

vehicle-routing-problem4

gurobi4

pytorch1

machine-learning1

deep-learning1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

sanglinwei/sanglinwei.github.io

May 2020 - Mar 2025

Contributions:165 pushes, 1 branch in 4 years 10 months

sanglinwei/sanglinwei21

Jul 2020 - May 2022

Contributions:32 pushes, 1 branch in 1 year 10 months

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