I am a postdoctoral researcher affiliated with the Data Science Lab at MIT, and the Mitch Daniels School of Business at Purdue University, both under the supervision of Prof. David Simchi-Levi. I earned my Ph.D. degree of Operations Research from the Department of Industrial Engineering and Management Sciences at Northwestern University, where I was fortunate to be advised by Prof. Seyed Iravani and Prof. Ohad Perry. Prior to Northwestern, I received my bachelor’s degree in Engineering Mechanics at Peking University (ranking top 1 in the major), where I was advised by Prof. Leyuan Shi.

My research centers on the performance analysis, design, and control of stochastic systems through applying and developing tools in applied probability, queueing theory, and optimization. A key focus of my work is understanding the value of redundancy, flexibility, and their interplay—with both their limited (“a little”) and full versions—in improving (or potentially harming) the efficiency of online service operations, including search engines, cloud computing and storage systems, and LLM serving platforms.

Education

• Ph.D. in Operations Research, Department of Industrial Engineering and Management Sciences (IEMS), Northwestern University 2021 - 2026

• Bachelor of Engineering, Engineering Mechanics, Peking University 2017 - 2021