Peng Zhang

Peng Zhang is an Assistant Professor at Rutgers, The State University of New Jersey, affiliated with the School of Arts and Sciences. His research focuses on theoretical computer science, algorithms, computational complexity, and optimization. He leads the Theory of Computing research group and has received the NSF CAREER Award for his work. His research explores advanced topics such as discrepancy theory, Laplacian solvers, and algorithmic hardness results.

Key research interests include developing efficient algorithms for structured numerical problems, analyzing computational complexity, and advancing methods in combinatorial optimization. His recent work addresses challenges in randomized experiments, covariate balancing, and parallel algorithm design.

• Awards: NSF CAREER Award
• Lab/Group: Theory of Computing Research Group
• Office: Hill 444

His publications span topics from discrepancy minimization to linear programming equivalence, reflecting a deep engagement with foundational computational theory and its applications.