Juan Pablo Vielma


Juan Pablo Vielma


Juan Pablo Vielma is the Richard S. Leghorn (1939) Career Development Professor and an Associate Professor in Operations Research and Statistics at the MIT Sloan School of Management.

Previously, he was an Assistant Professor in the department of industrial engineering at the University of Pittsburgh and was the 2009 Herman Goldstine Postdoctoral Fellow at the IBM Thomas J. Watson Research Center.

His research interests include theory and technology for linear, non-linear, and stochastic mixed integer programming, and optimization models in sustainable natural resource management, marketing, and statistics.

Vielma holds a BS and a Mathematical Engineering Professional Degree in mathematical engineering from the University of Chile, and a PhD in industrial engineering from the Georgia Institute of Technology.

He has received the Presidential Early Career Award for Scientists and Engineers (PECASE), the Faculty Early Career Development award from the National Science Foundation, a first prize in the INFORMS Junior Faculty Interest Group Paper Competition, the IBM Herman Goldstine Postdoctoral Fellowship and the INFORMS Optimization Society Student Paper Prize.

He served as chair of the INFORMS Section on Energy, Natural Resources, and the Environment from 2010 to 2012 and as vice-chair for Integer and Discrete Optimization of the INFORMS Optimization Society from 2013 to 2015.


Presidential Early Career Award given to Vielma

INFORMS honors Vielma with ICS Prize

Juan Pablo Vielma awarded for natural resources work

Juan Pablo Vielma paper recognized


"​Dynamic Automatic Differentiation of GPU Broadcast Kernels."

Jarrett Revels, Tim Besard, Valentin Churavy, Bjorn De Sutter, and Juan Pablo Vielma. In Proceedings of the Systems for Machine Learning Workshop at NeurIPS 2018, Montréal, Canada: Forthcoming. arXiv Preprint.

"A Combinatorial Approach for Small and Strong Formulations of Disjunctive Constraints."

Huchette, Joey, and Juan Pablo Vielma. Mathematics of Operations Research. Forthcoming. arXiv Preprint.

"Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis."

Saure, Denis, and Juan Pablo Vielma. Operations Research. Forthcoming. SSRN Preprint.

"Beating the SDP Bound for the Floor Layout Problem: A Simple Combinatorial Idea."

Huchette, Joey, Santanu S. Dey, and Juan Pablo Vielma. INFOR: Information Systems and Operational Research Vol. 56, No. 4 (2018): 457-481. arXiv Preprint.

"Strong Mixed-Integer Formulations for the Floor Layout Problem."

Huchette, Joey, Santanu S. Day, and Juan Pablo Vielma. INFOR: Information Systems and Operational Research Vol. 56, No. 4 (2018): 392-433. arXiv Preprint.

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