University of Michigan
David Kaufman, Ph.D., Assistant Professor, Decision Sciences at the University of Michigan-Dearborn College of Business.
Professor Kaufman teaches courses in Decision Sciences. His expertise lies in decision-making under conditions of uncertainty, optimization, and risk management.
Prior to joining the College of Business, Dr. Kaufman was a lecturer at the University of Michigan (Ann Arbor) where he taught courses in operations research, corporate finance, and financial engineering. His previous teaching experience also includes a course in stochastic processes at Cornell University (Ithaca).
Dr. Kaufman’s previous industry experience includes product development for RiskMetrics Group, a financial risk management company with a client base that included 69 of the 100 largest investment managers, 42 of the 50 largest mutual fund companies, 41 of the 50 largest hedge funds, 17 of the top 30 OECD central banks, and the ten largest global investment banks.
Dr. Kaufman's research interests are in stochastic processes and decision models for systems where variability and uncertainty play an important role in design, analysis, and management. His work often considers the optimization of sequential decisions modeled as Markov decision processes. Applications include production and manufacturing, the dynamic control of queueing systems, and medical decision-making.
Professor Kaufman holds M.S. and Ph.D. degrees in Industrial and Operations Engineering from the University of Michigan and a Bachelor of Arts degree in mathematics and physics from Bethel College (in Kansas).
A list of Dr. Kaufman's research publications is available through his personal website.
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