Michael works to improve the modeling, analysis, planning, design, and control of urban transportation systems to help create smarter (i.e. more efficient, sustainable, and affordable) cities through research and teaching. His research interests include emerging transportation systems such as bikesharing, ridesharing, and shared-use autonomous mobility services, as well as the integration of these emerging systems with existing transit networks. Michael’s research and teaching emphasizes the mathematical modeling of transportation systems through a combination of operations research (e.g. optimization, simulation, network, Markov decision process) models, statistical (e.g. discrete choice, linear regression) models, and economic models. Before joining the faculty at UC Irvine, Michael was employed as a graduate research assistant at the Northwestern University Transportation Center while earning his PhD in Civil and Environmental Engineering from Northwestern University. Michael earned his B.S. and Master’s degrees in Civil and Environmental Engineering from Cornell University.