Stanford
MS&E
Systems Optimization Laboratory
Campus-Quad1

Introduction
The Systems Optimization Laboratory conducts basic and applied research on large-scale mathematical programming, including algorithmic development, model formulation, and software production.

Research Areas and Applications

Constrained Optimization

Constrained Optimization (Linear and Nonlinear Programming)

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Stochastic Linear Programming

Stochastic Linear Programming (Planning Under Uncertainty)

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Systems Using SOL Optimization Software

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Personnel

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Ding Ma

Ding Ma received her Ph.D. in Management Science and Engineering from Stanford University, focusing on creating numerical algorithms to analyze large-scale optimization models and datasets.

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Tongda Zhang

Tongda Zhang received his Ph.D. degree in Electrical Engineering of Stanford in 2016 with a focus of data mining, machine learning based human behavior understanding.

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University of California, San Diego

Philip Gill

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Collaborators of Systems Optimization Laboratory

US Department of Energy grant DE-SC0002009 and National Institute of General Medical Sciences grant U01GM102098

UC San Diego

UC San Diego

Systems Biology Research Group, Bernhard Palsson (PI)

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University of Iceland

University of Iceland

Multiscale Systems Biology Laboratory, Ines Thiele (PI)

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University of Luxembourg

University of Luxembourg

Thiele Laboratory, Ines Thiele (PI)

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Multiscale Systems Biology Collaboration

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