Retsef Levi

J. Spencer Standish (1945) Professor of Management
Professor of Operations Management

Biography

Retsef Levi

Retsef Levi is the J. Spencer Standish (1945) Professor of Management and a Professor of Operations Managementat the MIT Sloan School of Management.

Levi’s current research is focused on the design and performance analysis of efficient algorithms for fundamental stochastic and deterministic optimization models that arise in the context of supply chains, revenue management, logistics, and healthcare. These fundamental, multistage stochastic models are typically difficult to solve optimally, both theoretically and in practice. Hence, it is important to develop efficient heuristics that provide provably near-optimal policies for these hard models. Levi has a special interest in cost-balancing techniques, data-driven (sampling-based) algorithms, and modern linear programming-based approximation techniques applied to models in the above domains. In addition, he is interested in stochastic and combinatorial optimization and mathematical programming in their broad definition, especially in their intersection with problems that arise in the context of real-life applications. Levi is affiliated with MIT’s Master of Science Program in Computation for Design and Optimization.

He was born in Tel-Aviv, Israel, and served for about 12 years as an officer in the Israeli Defense Forces. In 2005, he received the Goldstine Postdoctoral Fellowship in Mathematical Sciences awarded by the Mathematical Sciences Department at the IBM T.J. Watson Research Center in Yorktown Heights, New York.

Levi holds a BS in mathematics from Tel-Aviv University and a PhD in operations research from Cornell University.

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Web Site: http://web.mit.edu/retsef/www/

 

Contact Information
Office: E62-562
Tel: (617) 253-4155
Fax: (617) 258-7579
Support Staff
Name: Ariel Brandner
Tel: (617) 253-6605

Research Center(s)

General Expertise
Applied math; Applied probability; Business intelligence; Competition; Convergence; Decision making, decision support; Facility location; Healthcare operations management; Infrastructures; Inventory; Logistics; Manufacturing management; Manufacturing systems; Mathematical programming; Medical decision making with technological advances; Medicine; Middle East; Operations management; Operations research; Optimal control; Optimization; Price fixing; Probability, applied; Process control; Production; Project management; Revenue management optimization; Sampling; Statistics; Stochastic modeling; Supply chain management; Terrorism; Vehicle routing