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Welcome to the site of Paul Reverdy at the University of Arizona.

I study how humans and automated systems can work together to complete physical tasks. Often these tasks are expressed as optimization problems. The humans interact with the automated system by defining the objective function to be optimized, by providing information about the structure of the problem, and sometimes by approving and implementing the actions recommended by the automated system. By combining the ability of humans to learn structure from experience and the ability of automated algorithms to carry out computation and process data, I develop systems that achieve higher performance than either humans or automation could achieve on their own.

See the links above for more information on research, teaching, and publications.