​Ho-Yin Mak 

About Me

​

I am Associate Professor in Operations & Information Management at McDonough School of Business, Georgetown University. I am also a Turing Fellow of The Alan Turing Institute (the UK's national research institute for data science & AI), and Associate Scholar at the Saïd Business School (SBS), University of Oxford, where I was formerly a tenured Associate Professor (from 2015-22). In 2019, I was named one of the World's Best 40 Business School Professors Under 40 by Poets & Quants. 

​

Before Oxford, I was on the faculty of the Hong Kong University of Science & Technology (2009-15). 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 dimensionality 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:

- Supply chain management;

- Digital retail operations;

- Sustainable, smart transportation & energy;

- The sharing economy;

- Operations & marketing interface.

​

Some of my recent work focuses on the smart city context (see the discussion paper, published 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. 

​

​​

​​

​​​