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After receiving his Bachelor's degree in Computer Science from Harvard University, Ben joined BBN Technologies, the research and development firm where the first internet routers were developed, working on advanced multi-agent modeling, scheduling and logistics systems. After six years in industry, he returned to Harvard University to pursue a Ph.D. at the intersection of computer science, game theory and economics. Upon graduation he joined Boston University's Questrom School of Business as an Assistant Professor in the Information Systems department, an affiliation he maintains in addition to his work for Tremor. Dr. Lubin's research is in three primary areas: (1) mechanism design, especially of combinatorial auctions and exchanges, mechanisms that support efficient reallocation of goods when participants have complex preferences regarding bundles of items, (2) applications of machine learning techniques to mechanism design, especially for pricing and to facilitate preference elicitation, (3) the use of spectral graph theory and machine learning to advance the analysis of social networks, especially in healthcare settings. Dr. Lubin is a recipient of the Siebel Fellowship and a Yahoo Key Technical Challenge award. Portions of his academic research are funded by the NSF, the NIHCM, and the Veterans Administration.