Bio

I am currently a postdoctoral principal researcher in Econometrics and Statistics at the University of Chicago Booth School of Business under the supervision of Prof. Mladen Kolar. I work on the intersection of machine learning, optimization and statistics.

Prior to my postdoctoral researcher position at Chicago Booth, I completed my Ph.D. in Statistics at Department of Statistics and Data Science of Northwestern University advised by Prof. Han Liu. Prior to my Ph.D. study at Northwestern, I was a research assistant at Department of Mathematics of The Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Yuan Yao and Prof. Jian-Feng Cai. I worked towards my master research under the supervision of Prof. Emilie Chouzenoux and Prof. Jean-Christophe Pesquet at CentraleSupélec, Université Paris-Saclay, France. I completed my previous degrees at HKUST and The University of Hong Kong (HKU) respectively. Please refer to my CV for further details.

Education

  • PhD in Statistics, Northwestern University, 2023

  • MS in Statistics, Northwestern University, 2020

  • MSc in Big Data Technology, The Hong Kong University of Science and Technology, 2017

  • Exchange at CentraleSupélec (École Centrale Paris), January–June 2017

  • Master of Statistics, The University of Hong Kong, 2016

  • BSc in Mathematics, The University of Hong Kong, 2015

Awards

Professional Memberships