Michael has published more than 25 articles in peer-reviewed journals, conferences, and workshops in the fields of computational game theory, economics, mechanism design, distributed search, automated trading, machine learning, multi-agent simulation, and online privacy. He has led the development of two independent supply chain trading agents (ultimately both finalists) in the International Trading Agent Competition and developed decision support technology for companies such as SAP. He also co-founded Hg Analytics, LLC, a quantitative financial management company that has profitably traded several billions of dollars on open markets since January 2009. Michael is an honors graduate of Brown University (Computer Science) and is a Ph.D. candidate in Carnegie Mellon University’s School of Computer Science, where he has also earned an M.S. degree.