Summary
Yi Zhang is an Optimization Research Scientist with a PhD in Control Science and Engineering and over a decade of experience applying global optimization, robust scheduling, and data-driven methods to industrial problems. He has contributed to algorithm development with academics and industry—collaborating with Prof. Nick Sahinidis and driving optimization work at Alibaba and The Optimization Firm—while specializing in global MINLP solvers like BARON and a wide solver stack (CPLEX, Gurobi, SCIP, DICOPT). His interdisciplinary strengths span control theory, reinforcement learning for industrial optimization, and presolve techniques, backed by production-oriented projects such as a chemical-plant safety system. Comfortable in Java, Python, Fortran and R, Yi combines deep theory with practical deployment experience and a top-ranked automation undergraduate pedigree, bringing both research rigor and hands-on solver engineering to complex optimization challenges.
10 years of coding experience
Bachelor's degree, Automation, RANK 1/149 in automation major, Bachelor's degree, Automation, RANK 1/149 in automation major at Harbin Engineering University
Visiting Ph.D. Student, Process System Engineering, Visiting Ph.D. Student, Process System Engineering at Carnegie Mellon University
Doctor of Philosophy (Ph.D.), Control Science and Engineering, Doctor of Philosophy (Ph.D.), Control Science and Engineering at 浙江大学
Chinese, English, Korean