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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. 

Recent Updates
  • The paper Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization, coauthored with Long He, has been accepted in the KDD 2023 Conference. 


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