Bio

I am currently a Ph.D. candidate in Operations Research expected to graduate in April 2025 at the Department of Industrial and Operations Engineering (IOE) at the University of Michigan, Ann Arbor. My advisor is Prof. Albert S. Berahas. My research interests are Stochastic Optimization, Nonlinear Optimization, Derivative-free Optimization, Constrained Optimization, and Machine Learning. 

Education

• Ph.D. Student, Operations Research, University of Michigan, Ann Arbor

Advisor: Prof. Albert S. Berahas

• M.S.E, Applied Mathematics and Statistics, Johns Hopkins University

• B.S., Statistics, Shandong University

Award

• Applied Mathematics and Statistics Prize for Outstanding Master's Research, Johns Hopkins University

• Engineering Graduate Fellowship, University of Michigan

• Rackham Travel Grant, University of Michigan

• Michigan Institute for Computational Discovery and Engineering (MICDE) Student Fellowship,  University of Michigan

• Richard F. and Eleanor A. Towner Prize for Distinguished Academic Achievement,  University of Michigan 

News

• Mar 2025: New paper Optimistic Noise-Aware Sequential Quadratic Programming for Equality Constrained Optimization with Rank-Deficient Jacobians, joint work with  Albert S. Berahas and Baoyu Zhou.

• Feb 2025: I won the Richard F. and Eleanor A. Towner Prize for Distinguished Academic Achievement.

• Nov 2024: Our paper A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms with Matt Menickelly and Jeffery Larson is published by INFORMS Journal on Computing. 

• Oct 2024: Chaired sessions "Methods for Large-scale Nonlinear and Stochastic Optimization I/II/III/IV" at INFORMS 2024.

• Oct 2024: Presented  in the session of "Methods for Large-scale Nonlinear and Stochastic Optimization III"  INFORMS 2024.

• Sept 2024: Received 2024-2025 MICDE Fellowship.

• Sept 2024: New paper Difference Between Cyclic and Distributed Approach in Stochastic Optimization for Multi-agent System, joint work with James C. Spall.

• July 2024: Presented at International Symposium on Mathematical Programming (ISMP) 2024.

• June 2024: New paper Modified Line Search Sequential Quadratic Methods for Equality-Constrained Optimization with Unified Global and Local Convergence Guarantees, joint work with Albert S. Berahas and Raghu Bollapragada.

• May 2024: I started working at Amazon as an applied scientist intern.

• Oct 2023: Presented in the session of  "Constrained Stochastic Optimization" at INFORMS 2023.

• Jun 2023: I started a research internship at Argonne National Laboratory.

• Jun 2023: Presented in the session of  "Recent Advances in Large-Scale Nonlinear Optimization" at SIAM Conference on Optimization 2023.

• April 2023: Our paper Accelerating Stochastic Sequential Quadratic Programming for Equality Constrained Optimization using Predictive Variance Reduction is published in Computational Optimization and Applications, joint work with Albert S. Berahas, Baoyu Zhou, and Zihong Yi.