Matthew A. Lanham
Clinical Assistant Professor of Quantitative Methods
Purdue University | Krannert School of Management
466 Krannert Building
403 West State Street | West Lafayette, IN 47907
Email: lanhamm at | Office: 765-494-4419


Experimental Learning

    I love doing experimental learning projects with students. These opportunities can be applied problems with industry partners, a topic a student wants to learn more about (e.g. algebraic modeling, SolverStudio, text analytics, etc.), analytics competitions, or some applied research using analytics to support a business problem. Sometimes a student might want to set up an experimental learning project as an independent study, which is fine, but most do not. Talk to me about it. Below are some examples of projects that I have helped students with recently that I can share.

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Analytics Research

Assortment Planning

The most important parameter of a retailer's assortment planning model is that of product demand. My research builds and tests novel approaches to estimating product demand accurately and at scale for hundreds of thousands of products. This involves bridging machine learning, forecasting, and management science methodologies with traditional and big data technologies.