Shane G. Henderson
School of Operations Research
and Information Engineering
230 Rhodes Hall
I use analytical methods to help make better decisions. For example, my work has been used to help decide where and when to place ambulances to keep response times small. Click here for some TV coverage. It has been used to help in designing yachts to compete in the America's Cup. It has helped fire departments in their long-term planning. In a kind of technical hobby I even analyze some aspects of the game of Monopoly.
My general field is called Operations Research. You can find out more here. That information is supplied by INFORMS, which is one of the professional organizations involved with Operations Research.
My overall professional goal is to contribute to both research and learning in the theory and application of stochastic simulation and applied probability, with emphasis on the interface between these areas and optimization. I am greatly interested in, and motivated by, applications with strong societal relevance, including bike sharing, medical scheduling and ambulance planning.
My primary research interests lie in the interplay between optimization and simulation. In particular, I am interested in structured simulation optimization, where the optimization problem enjoys certain properties, like convexity or quasi convexity, that one can exploit to develop algorithms that are robust and fast. Recently I have been working on simulation optimization in parallel computing environments. Specific applications include bike sharing, MRI scheduling, radiation treatment planning, call center planning, yacht match racing, and land and air ambulance deployment.Brief Bio
Shane G. Henderson is professor and director (from July 2017) of the School of Operations Research and Information Engineering at Cornell University. He has previously held positions in the Department of Industrial and Operations Engineering at the University of Michigan and the Department of Engineering Science at the University of Auckland. He is the editor in chief of Stochastic Systems. He has served as chair of the INFORMS Applied Probability Society, and as simulation area editor for Operations Research. He serves on several INFORMS award committees. His research interests include discrete-event simulation, simulation optimization, and emergency services planning.