Matt Bailey

Matt Bailey

Professor of Analytics & Operations Management
Faculty fellow for the Dominguez Center for Data Science
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Education

  • PhD, Industrial and Operations Engineering, University of Michigan, 2002.
  • MS, Industrial and Operations Engineering, University of Michigan, 1997.
  • BS, Mathematics, Purdue University, 1996.

Recent and Representative Publications

Bailey, D. M., Michaels, D., (2019) An optimization-based DSS for student-to-teacher assignment: Classroom heterogeneity and teacher performance measures. Decision Support Systems. 119, 60-71. https://www.sciencedirect.com/science/article/pii/S016792361930034X

Bailey, D. M., Nowak, M., (2018) MeetOpt: A Multi-Event Coaching Decision Support System. Decision Support Systems. 112, 60-75. https://www.sciencedirect.com/science/article/pii/S0167923618301040

Bailey, D. M., Shechter, M. S., Schaefer, J. A., Roberts, S. M., (2008) The Optimal Time to Initiate HIV Therapy under Ordered States. Operations Research. 56(1), 20-33.

Bailey, D. M., Mazumdar, M., Wang, D. M., Valenzuela, J., (2007) Oligopoly Models for Market Price of Electricity under demand uncertainty and unit reliability. European Journal of Operational Research. 181(3), 1309-1321.

Recent Courses Taught

  • ANOP 330, Predictive Analytics: Machine Learning Fundamentals for Business.
  • ANOP 270, Data Visualization for Business Analytics.

Awards and Honors

  • Poets and Quants Top 50 Undergraduate Business Professors, Poets & Quants Magazine, 2020
  • Best Application Paper Award - Operations, IIE Transactions, 2010
  • Best Applied Paper in Operations Engineering and Analysis, Institute of Industrial Engineers, 2009

Location

207 Holmes Hall

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