Carleton Coffrin




In May 2012, Carleton received a Ph.D. in Computer Science from Brown University under the supervision of Pascal Van Hentenryck. He continues his Ph.D. work as a research scientist in NICTA's Energy Systems Team and as honorary staff at the University of Melbourne. His research interests focus on how optimization and artificial intelligence can be applied to problems in energy systems and disaster management. In 2013 Carleton worked closely with professor Pascal Van Hentenryck to developed the Discrete Optimization MOOC, available on the Coursera platform. This experience has cultivated Carleton's new found fascination for e-learning. Through participation in an interdisciplinary learning analytics research group, Carleton strives to better understand how students learn in MOOCs and how instructors can provide the best online learning experience.

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Jul 24th 2017

Learn a new way to approach problem solving by stating the problem and letting powerful constraint solving software do the rest. This class teaches you the art of encoding complex discrete optimization problems in the MiniZinc modeling language and then shows you how to effortlessly solve them by leveraging state-of-the-art open-source constraint solving software.

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