Christopher Maes

Christopher Maes is a principal engineer on the NVIDIA cuOpt team. He received his PhD in Computational and Mathematical Engineering from Stanford University in 2010. His background and research interests are in linear, quadratic, and mixed-integer programming, as well as trajectory optimization, and machine learning.
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Posts by Christopher Maes

Data Science

Solve Linear Programs Using the GPU-Accelerated Barrier Method in NVIDIA cuOpt

How does the NFL schedule all its regular-season games while avoiding stadium conflicts with Beyoncé concerts?   How can doctors use a single donated... 9 MIN READ
Data Science

Accelerate Decision Optimization Using Open Source NVIDIA cuOpt

Businesses make thousands of decisions every day—what to produce, where to ship, how to allocate resources. At scale, optimizing these decisions becomes a... 5 MIN READ