About Me

Hello! I am a Ph.D. candidate in Operations Research in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech, advised by Dr. Weijun Xie. 

My research interests lie at the intersection of optimization, machine learning (ML), and statistics, with the goal of advancing ML towards greater interpretability, efficiency, fairness, and robustness. Specifically, my research develops new optimization theory and algorithms and leverages them to solve practical problems. I have collaborated with interdisciplinary teams (including practitioners and academics) to improve power systems, solar flare detection, 3D printing, and healthcare.

Awards

• Shabbir Ahmed Research Fellowship, Georgia Tech, 2023

• ARC-ACO Fellowship Award for Spring 2023, Georgia Tech

• Runner-up, Student Paper Competition, INFORMS Computing Society, 2021

• Finalist, Student Paper Competition, IISE Data Analytics & Information Systems Division, 2021 & 2023

• First Place, Student Paper Competition, INFORMS Data Mining Section, 2020

• First Place, Student Poster Competition, INFORMS & HFES Student Chapters, Virginia Tech, 2019 & 2020

• Finalist, Student Poster Competition, INFORMS, 2019

• First Place, Student Poster Competition, Mixed Integer Programming (MIP) Workshop, MIT, 2019

Education

• Ph.D. Candidate in Operations Research, Georgia Tech, 2022 - Present

  • Minor in Machine Learning

• Ph.D. Candidate in Operations Research, Virginia Tech, 2018 - 2022

• B.S. in Information Management & Information Systems, Shanghai University of Finance and Economics, China, 2014 - 2018

  • Minor in Statistics