About Me

I am Associate Professor in Management Science (with tenure) at the Saïd Business School (SBS), University of Oxford. At SBS, I teach courses in Analytics and serve as Associate Academic Director of the MBA program. In 2019, I was named as one of the World's Best 40 Business School Professors Under 40 by Poets & Quants. 

Prior to Oxford, I was on the faculty of the Hong Kong University of Science & Technology (HKUST). I completed my Ph.D. and M.S. degrees from the University of California at Berkeley, and my B.S. degree from Northwestern University. 

My research interests cover operations research, data science and operations management. On the methodological side, I focus on developing prescriptive analytics methods that converts data into business decisions. My current interests include methods for dimensionalilty reduction for stochastic optimization and algorithmic fairness in data-driven optimization.  

On the applications side, my work in operations management aims to develop both managerial insights and analytics solutions to complex problems arising in:

- Sustainable transportation & energy;

- Supply chain management;

- The sharing economy;

- Operations & marketing interface.

Some of my recent work focuses on the smart city context (see Smart City OM and a discussion paper, to appear in M&SOM). This line of work has been recognized by the M&SOM Best Paper Award (twice), the INFORMS Transportation Science & Logistics (TSL) Best Paper Award, and the INFORMS Energy & Natural Resources (ENRE) Young Researcher Prize. 

Recent Updates

  • The paper Data-Driven Research in Retail Operations - A Review (coauthored with Meng Qi and Z. Max Shen) is accepted for publication in Naval Research Logistics. This paper surveys the current literature on operations research-machine learning interface methods in retail operations management. 

​​

© 2019 by Ho-Yin Mak. All rights reserved