William Halford Jr. Family Associate Professor, Haas School of Business and Helen Wills Neuroscience Institute, University of California, Berkeley
Ming Hsu is an economist and neuroscientist who studies how people make decisions, in terms of both the hardware (i.e. the neural systems that make decision making possible) and software (i.e. the computations that these neural systems perform). He has used Mathematica extensively since his doctoral work at Caltech, studying the formation and evolution of prices in experimental double auction markets. Subsequent work focused on developing new computational models of choice behavior in decisions under uncertainty and relating these models to behavioral and neural data. In the future, he hopes to utilize the text-analytic capabilities of Mathematica to broaden the range of cognitive functions captured in current models of decision making.