Dr. Sandholm is a serial entrepreneur and eminent professor. He is a Professor at Carnegie Mellon University in the Computer Science Department, with affiliate professor appointments in the Machine Learning Department, the PhD Program in Algorithms, Combinatorics, and Optimization (ACO), and the CMU/UPitt Joint Ph.D. Program in Computational Biology. He is the Founder and Director of the Electronic Marketplaces Laboratory.
He has published over 450 peer-reviewed academic papers and holds 19 patents.
He has 26 years of experience building optimization-based electronic marketplaces, and has fielded several of his systems.
In parallel with his academic career, he was Founder, Chairman, and CTO/Chief Scientist of CombineNet, Inc. from 1997 until its acquisition in 2010. During this period the company commercialized over 800 of the world’s largest-scale generalized combinatorial markets, with over $60 billion in total spend and over $6 billion in generated savings.
Dr. Sandholm also served as the redesign consultant of Baidu’s sponsored search auctions; within two years Baidu’s market cap increased 5x to $50 billion due to doubled monetization. He has also served as consultant to Yahoo! for Internet display advertising market design, and Yahoo! has adopted several of his ideas.
He has consulted for Google, Chicago Board Options Exchange, Netcycler/swap.com, Granata Decision Systems (now Google), Rare Crowds (now Media Math), and others. His algorithms run the US-wide UNOS kidney exchange.
He has applied his algorithms to develop the reigning two-time world champion Heads’Up No-Limit Texas Hold’em poker program. He earned a PhD and MS in Computer Science and a Dipl. Eng. (MS with BS included) with distinction in Industrial Engineering and Management Science. Among his many honors are the NSF Career Award, inaugural ACM Autonomous Agents Research Award, Sloan Fellowship, Carnegie Science Center Award for Excellence, Edelman Laureateship, and Computers and Thought Award.
He is Fellow of the ACM, AAAI, and INFORMS.
Dr. Peng develops optimization algorithms and software at Optimized Markets. He is an expert in integer programming, with a focus on scalability on real data. He earned his PhD in Industrial and Operations Engineering from the University of Michigan.
Mr. Dickerson develops optimization algorithms and software architecture at Optimized Markets. He has significant experience on market optimization algorithms via working with Dr. Sandholm on kidney exchange. He earned a BS in Computer Science and a BS in Mathematics from the University of Maryland and an MS in Computer Science from Carnegie Mellon University, and he is completing his PhD under Dr. Sandholm’s guidance.
Dr. Gordon works on Optimized Markets’s machine learning algorithms and software. He is an Associate Professor in the Department of Machine Learning at Carnegie Mellon University, and Associate Department Head for Education. He works on statistical machine learning, educational data, game theory, multi-robot systems, and planning in probabilistic, adversarial, and general-sum domains. His previous appointments include Visiting Professor at the Stanford Computer Science Department and Principal Scientist at Burning Glass Technologies in San Diego. Dr. Gordon received his B.A. in Computer Science from Cornell University in 1991, and his Ph.D. in Computer Science from Carnegie Mellon University in 1999.
Cameron Scott has been a developer, UI designer, project manager, and content strategist operating in Pittsburgh since 2011. He graduated summa cum laude from The Pennsylvania State University. After graduation, he taught in the Integrative Arts Department at Penn State, where he built and implemented digital curricula for a variety of music, art, and design courses. During that time, he developed a fascination with the efficient, effective delivery of content over the web, which drove him to dive more deeply into a wide variety of web-based technologies. From there, it was a short hop to more commercial applications.
Prof. George Nemhauser, PhD