|Harvard Business School
15 Harvard Way
Morgan Hall 419
Boston, MA 02163
Tel: (617) 495-7942
My research interests lie in healthcare and the interface of finance and operations management.
I am also interested in the interplay of fairness and efficiency in resource allocation problems and operations, and the inherent tradeoffs that arise in balancing these objectives.
Prior to the above work, I worked on an algorithmic analysis of the network utility maximization problem.
Fairness in Operations
The Price of Fairness (with D. Bertsimas and V. F. Farias) (Operations Research, Vol. 59, No.1, 2011)
On the Efficiency-Fairness Trade-Off (with D. Bertsimas and V. F. Farias) (Management Science, Vol. 58, No. 12, 2012)
Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation (with D. Bertsimas and V. F. Farias) (Operations Research, Vol. 61, No. 1, 2013)
2011 INFORMS Pierskalla Award, finalist
Fairness in Operations: From Theory to Practice (MIT thesis, 2011)
2012 INFORMS George B. Dantzig Dissertation Award, Third Prize
Pareto Efficiency in Robust Optimization (with D. A. Iancu) (Management Science, forthcoming)
Dynamic Network Utility Maximization with Delivery Contracts (with S. Boyd and A. Zymnis) (Proceedings IFAC World Congress, p. 2907 - 2912, Seoul, July 2008)
An Interior-Point Method for Large Scale Network Utility Maximization (with S. Boyd, D. O'Neill and A. Zymnis) (Proceedings of the Allerton Conference on Communication, Control, and Computing, September 2007)
Fairness and Efficiency in Multiportfolio Optimization (with D. A. Iancu) (submitted to Operations Research)
Inventory Management Under Financing Constraints (with D. A. Iancu and G. Tsoukalas)
RCTOM Technology and Operations Management, HBS, Fall 2013, 2012, 2011
HBS 4480 Operations Management, HBS, Fall 2012
15.761 Introduction to Operations Management, (assistant), MIT, Spring 2010
15.764 The Theory of Operations Management, (assistant), MIT, Spring 2009
For the purposes of the class, we developed with V. F. Farias an airline booking system simulator. The simulator allows students to compete by designing a booking system that dynamically prices airline tickets for thousands of itineraries, which vary in booking class, legs, etc., in the presence of strategic customers. The simulator was designed for graduate level students with basic training in Network Revenue Management (available upon request to instructors).
15.071 The Edge: Decision Methodologies for Managers, (assistant), MIT, Spring 2008
EE141 Engineering Electromagnetics, (assistant), Stanford University, Fall 2006