Lee Newman holds a Ph.D. in Psychology and Computer Science from the University of Michigan, where he also completed a Certificate in Cognitive Neuroscience. In addition, he holds masters degrees in Management Science and in Technology and Policy from the Massachusetts Institute of Technology, and a bachelors degree in Electrical Engineering from Brown University.

Dr. Newman’s approach to research, teaching and mentoring is greatly influenced by his multidisciplinary background in psychology, computer science, management, and entrepreneurship. Prior to pursuing an academic career, Dr. Newman was a founder and senior manager in two technology startups in New York City, and he served as an Engagement Manager with McKinsey and Company in Chicago.

His research focuses on behavioral judgment and decision making. In particular, he is interested in identifying and characterizing the heuristics, biases and errors in the way individuals reason and decide under risk and uncertainty. He is also interested in how training can be used to reduce biases and errors and improve judgment and decision making performance. His approach to the study of decision making integrates behavioral experimentation, statistical modeling, and computational modeling.

Dr. Newman has taught in a number of academic disciplines including Management, Cognitive Psychology, Psychopathology, Neuropsychology, and Artificial Intelligence. In his teaching he emphasizes interaction and experiential learning through the use of experimental demonstrations and simulations. He also draws on his academic and industry experience to help students understand important and often ignored connections between theory and application, between the classroom and the workplace, and between studies of the behavioral sciences and everyday life.