Summary
Shixuan Zhang is an assistant professor at Texas A&M University specializing in mathematical optimization for operations research, data science, and systems engineering, with eight years of research experience. He earned a PhD in Operations Research from Georgia Tech after a math and physics BS from Tsinghua, and recently completed a postdoc at ICERM. His work spans polynomial and integer optimization, stochastic and robust optimization, and energy systems planning, often blending theoretical advances with practical planning models. Shixuan is known for connecting abstract optimization theory to real-world energy system problems, leveraging both probabilistic and worst-case frameworks. He brings a strong computational and mathematical toolkit to interdisciplinary problems, mentoring students and collaborating across engineering and mathematics. Based in College Station, he combines rigorous academic research with applied problem solving aimed at real policy and infrastructure impact.
8 years of coding experience
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Georgia Institute of Technology
Bachelor of Science - BS, Mathematics and Physics, Bachelor of Science - BS, Mathematics and Physics at Tsinghua University