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MIT Data Science Lab

Theoretically Elegant & Practically Relevant Research

David Simchi-Levi’s Data Science Lab develops analytic techniques and tools for improving decision making in environments that involve uncertainty and require statistical learning. We achieve this vision by exploring theoretical foundations of operational problems and applying them in the development of algorithms that integrate machine learning and stochastic or deterministic optimization techniques. Our methods have been implemented by a large number of companies across a variety of industries such as Airlines, Insurance, Manufacturing and Retail. For more details, click here.

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Breaking news: The lab Director Professor David Simchi-Levi has been elected to the National Academy of Engineering.

Breaking News: Can GenAI agents manage a supply chain? To answer this question, please play the GenAI Beer Game. The landing website: Beer Game by AI Agents.

Breaking News: MIT Data Science Lab and Coupa collaborated in the development of a new Business Spend Index (BSI), powered by Coupa’s unique community-generated dataset of more than $10 trillion in actual business spend. (More) (Read the Report)