Current Research Interests
- Supply Chain and Revenue Management Optimization
- Approximation Algorithm to Multistage Stochastic Optimization Models
- Data-driven Algorithms
- Stochastic Optimization
- Combinatorial Optimization
Current Research Projects
Hospital-Wide Care-Redesign Collaborative Project MASSACHUSETTS GENERAL HOSPITAL (MGH)-MIT SLOAN
Over 11-year collaboration with senior leaders, clinicians and administrators at MGH to leverage analytics and operations research approaches to enable system level changes in large academic medical centers. The work under this project has led to multiple large scale implementation in inpatient and outpatient settings with major impact on the hospital operations.
Systematic Risk Management in Food Supply Chains
A multi-year collaborative project in China, partially funded by the Walmart Foundation and the Walmart Food Safety Collaboration Center. With four collaborating academic and industry organizations in China, and multiple PIs from across the MIT campus (Sloan, Engineering and Sciences), the project aims to develop predictive risk analytics models that inform the management of economically motivated adulteration (EMA) risks, as well as innovative testing technologies to monitor food supply chains. The research is focused on the upstream parts of the supply chains including farming supply chains which are known to be highly distributed and opaque, and a source of many risks in food supply chains in China and worldwide.
Agriculture Supply Chains in India
Joint project with Karen Zheng funded by the MIT Tata Center and engages multiple industry collaborators in India. The project is focused on various issues related to the design and operation optimization of agriculture supply chains and markets in India.
Fresh Food Waste and Access
Joint project with Georgia Perakis focused on issues related to access to fresh food and waste in vegetables and fruits supply chains. The project aims to estimate food waste and access to fresh food and develop supply chain interventions to reduce waste and increase overall consumption of fresh food.
Joint project with Vivek Farias that is partially funded by an NSF grant to develop new optimization algorithms for core static and dynamic assortment problems. The project is focused on the heuristics that admit theoretical performance analysis and scale computationally on instances with practical size. In addition, the project studies various model estimation techniques.
- 2017 – Hainan Airlines Gift: “Risk management of food in China” ($2.5M). Duration: 2017- 2022
- 2012 – British Petroleum (BP) grant: “Managing Risk in Contractors and Suppliers Networks – Models, Data and Decisions” ($110K) with Georgia Perakis (MIT). Duration: 01/12 - 12/12
- 2011 – AFOSR Grant: “An Optimization Framework for Air Force Logistics Models” ($612k) with Tom Magnanti (MIT). Duration: 07/11 - 06/14
- 2010 – Singapore-MIT Alliance (SMA): Data-Driven Algorithms ($70k) with Georgia Perakis (MIT). Duration: 07/10 - 06/12 (in 2011 the grant was extended by an additional year with additional $60K)
- 2008 – AFOSR Grant: An Optimization Framework for Air Force Logistics Models ($522k), with Tom Magnanti. Grant Duration: 2008 - 2010, supplemented by additional $80k (November 2009)
- 2008 – Singapore-MIT Alliance (SMA): Data-Driven Algorithms ($160k). With Georgia Perakis (MIT). Grant Duration: 2008 - 2010
- 2007 – NSF Grant DMS-0732175: MSPA-MCS: Collaborative Research: Algorithms for Near- Optimal Multistage Decision-Making Under Uncertainty: Online Learning from Historical Samples (172,330), with David Gamarnik (MIT), David Shmoys and Paat Rusmevichientong (Cornell University and Tim Huh (Columbia University) Grant Duration: 2007 - 2010
- 2006 – MIT Buchsbaum Grant ($50K)
- 2005 – IBM Herman Goldstine Postdoctoral Fellowship in the Department of Mathematical Sciences, T.J. Watson Research Center, Yorktown Heights, NY
- 1996 – Designated as an Extra Merit Officer (by the Head of the IDF Intelligence Corps)