Contributors
Javier Amorós (“TEAM ASPAR Uses Binary Optimization to Obtain Optimal Gearbox Ratios in Motorcycle Racing”) is a lecturer in statistics and OR at the Miguel Hernández University, Elche, Alicante, Spain. He was a consultant at the MotoGP Motorcycle Racing World Championship from 2002 to 2008. He earned an MS in statistics and industrial technologies.
Mark Broadie (“Assessing Golfer Performance on the PGA TOUR”) is the Carson Family Professor of Business at Columbia University. He received a BS from Cornell University and PhD from Stanford University. His finance research addresses issues in risk management, the pricing and hedging of derivative securities, and asset management. His golf research addresses issues in performance measurement, luck versus skill, and strategy.
Richard Cassady (“Optimizing the Sunday Singles Lineup for a Ryder Cup Captain”) is professor of industrial engineering and director of freshman engineering at the University of Arkansas. He received his PhD in industrial and systems engineering from Virginia Tech. His primary research interests are in repairable systems modeling and sports applications of OR. He is a Fellow of SRE, a senior member of IIE, and a member of ASEE.
Timothy C. Y. Chan (“Quantifying the Contribution of NHL Player Types to Team Performance”) is an assistant professor in the Department of Mechanical and Industrial Engineering at the University of Toronto. His primary research interests are in optimization under uncertainty and the application of optimization methods to radiation therapy and other topics in healthcare. Prior to joining the University of Toronto, he was an associate in the Chicago office of McKinsey and Company.
Justin R. Chimka (“Optimizing the Sunday Singles Lineup for a Ryder Cup Captain”) is an associate professor in the Department of Industrial Engineering at the University of Arkansas. His PhD is from the University of Pittsburgh. He teaches courses in applied statistics and production. He has received research funding from the Arkansas Biosciences Institute and the National Science Foundation.
Justin A. Cho (“Quantifying the Contribution of NHL Player Types to Team Performance”) is an undergraduate student in the University of Toronto's Faculty of Applied Science and Engineering. He is pursuing a BASc degree in industrial engineering, with research interests in design, sports, medical, and healthcare systems analysis. He is working on improving the reliability of the discharge process at a hospital.
B. Jay Coleman (“Identifying the ‘Players’ in Sports Analytics Research”) is the Richard deR. Kip Professor of Operations Management and Quantitative Methods at the University of North Florida. His research on applying analytics in sports has appeared in Interfaces, IndustrialRelations, ManagerialandDecisionEconomics, the Journal of Sports Economics, and the Journal of Quantitative Analysis in Sports. It also has been featured by numerous media outlets
Wayne DeSarbo (“Exploring the Demand Aspects of Sports Consumption and Fan Avidity”) is Smeal Distinguished Professor of Marketing at the Smeal College of Business of Pennsylvania State University, University Park. He received his BS degree in economics from the Wharton School of the University of Pennsylvania. He has MA degrees in sociology, administrative science/OR, and marketing from Yale University and the University of Pennsylvania. He earned his PhD in marketing and statistics from the University of Pennsylvania and completed post doctoral work in OR and econometrics there. He has published widely. His methodological interests lie in multidimensional scaling, classification, and multivariate statistics, especially as they pertain to substantive marketing problems in positioning, market structure, consumer choice, market segmentation, and competitive strategy. He is executive director of the newly formed Center for Sports Business and Research at Penn State University.
Laureano F. Escudero (“TEAM ASPAR Uses Binary Optimization to Obtain Optimal Gearbox Ratios in Motorcycle Racing”) is a full professor of statistics and OR at the Universidad Rey Juan Carlos, Madrid, Spain. He earned a PhD in economic science. In 2003-2004 he was president of EURO, the Association of European Operational Research Societies. He has worked in the following IBM scientific centers: Centro Científico de Madrid (Spain), Palo Alto Scientific Center (California), German Manufacturing Technology Center (Sindelfingen, Germany), and T. J. Watson Research Center (Yorktown Heights, New York).
Nicholas G. Hall (“A Proposal for Redesign of the FedEx Cup Playoff Series on the PGA TOUR”) is professor of management sciences in the Fisher College of Business at the Ohio State University. His research interests are in operational supply chain issues, especially project management and scheduling, and in applications of OR to public policy and sports problems. He has published widely and presented at numerous conferences. His research has been funded by grants from the National Science Foundation, the Education Ministry of Japan, EPSRC (the national scientific funding agency of the UK), and several industrial companies. He is treasurer of INFORMS (2011–2012) and previously served as president of the Manufacturing and Service Operations Management Society (1999–2000) and vice president for Membership and Professional Recognition of INFORMS (2001–2003). He has been a member of the Operations Research editorial board since 1991 and served on the Management Science editorial board, 1993–2008. He has held visiting positions at Wharton School (University of Pennsylvania), Kellogg School (Northwestern University), and National University of Singapore. He developed and teaches a project management course that is the most popular elective at Fisher College. He is the owner and founder of a consulting company, CDOR, that serves the Ohio business and government communities.
Robert Madrigal (“Exploring the Demand Aspects of Sports Consumption and Fan Avidity”) has taught numerous graduate and undergraduate classes in sports management at the University of Oregon, Ohio State University, and Arizona State University. His research interests center on the application of pertinent theories of social psychology and consumer behavior to issues related to sport and tourism. He is particularly interested in those theories that explain the perceptions of sports fans and tourists. He is currently involved in a number of studies examining the ability of Weiner's (1986) attributional theory of motivation and achievement to explain fans' and tourists' satisfaction judgments.
Brian McClure (“Optimizing the Sunday Singles Lineup for a Ryder Cup Captain”) is a 2010 graduate of the MS program in industrial engineering at the University of Arkansas. Upon graduation, he began his professional career as an economic analyst with ABF Freight System, Inc., in Fort Smith, Arkansas.
Juan F. Monge (“TEAM ASPAR Uses Binary Optimization to Obtain Optimal Gearbox Ratios in Motorcycle Racing”) is an associate professor of statistics and OR at the Miguel Hernández University, Elche, Alicante, Spain and is a member of its Operations Research Center. He has written several papers and communications in this area. He earned a PhD in mathematics.
David C. Novati (“Quantifying the Contribution of NHL Player Types to Team Performance”) is an undergraduate student in industrial engineering at the University of Toronto. He plans on pursuing postgraduate education in OR. His research interests are primarily in sports analytics with an emphasis on hockey. He is developing a predictive model for NHL player development.
Chris N. Potts (“A Proposal for Redesign of the FedEx Cup Playoff Series on the PGA TOUR”) is professor of operational research in the School of Mathematics, University of Southampton, UK. He leads the University of Southampton's contribution to the LANCS Initiative, which is a collaborative project among four UK universities, with funding of £13M, aimed at building capacity in OR. In OR applied in sports, his research includes developing race strategy in Formula One motor racing. He has also made extensive research contributions in scheduling applied in production industries and transport, with publications in Operations Research, Management Science, Mathematics of Operations Research, INFORMS Journal on Computing, and Mathematical Programming.
Chase Rainwater (“Optimizing the Sunday Singles Lineup for a Ryder Cup Captain”) is an assistant professor in the Department of Industrial Engineering at the University of Arkansas. He earned a PhD in industrial and systems engineering from the University of Florida. His primary research interests are in large-scale optimization, integer programming, and supply chain logistics. He is active in the areas of reliability, homeland security, and healthcare planning. Chase is a member of IIE, INFORMS, and MORS.
Oscar Reinoso (“TEAM ASPAR Uses Binary Optimization to Obtain Optimal Gearbox Ratios in Motorcycle Racing”) is a professor at the Miguel Hernandez University, focusing on control, robotics, and computer vision. From 1994 to 1997 he worked in the Research and Development Department of Protos Desarrollo in a visual inspection system. His research interests include robotics, teleoperated robots, climbing robots, visual serving, and visual inspection systems. He is a member of the CEA-IFAC and IEEE. He earned a PhD in industrial engineering and has published widely.
José V. Segura (“TEAM ASPAR Uses Binary Optimization to Obtain Optimal Gearbox Ratios in Motorcycle Racing”) is a professor of statistics and OR at the Miguel Hernández University, Elche, Alicante, Spain and is a member of the Operations Research Center. He has published widely. He earned a PhD in mathematics.
Joel Sokol (“A Major League Baseball Team Uses Operations Research to Improve Draft Preparation”) is an associate professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. His primary research interests are in the application of OR to just about anything, from logistics, manufacturing, and network design to biology, social logistics, and sports modeling. His research has won the EURO Management Science Strategic Innovation Prize, and his LRMC method (predictive modeling for the NCAA basketball tournament) has been featured in the New York Times, CNN, and ESPN. He has received a number of awards for teaching.
Noah Streib (“A Major League Baseball Team Uses Operations Research to Improve Draft Preparation”) graduated from Oberlin College in 2006 with a BA in applied mathematics and a minor in economics. He is a PhD student in algorithms, combinatorics, and optimization at Georgia Institute of Technology. His primary research interests pertain to graph theory and the combinatorics of partially ordered sets.
Stephen J. Young (“A Major League Baseball Team Uses Operations Research to Improve Draft Preparation”) earned a PhD in 2008 from Georgia Institute of Technology's algorithms, combinatorics, and optimization program. He is a postdoc at the University of California, San Diego. His research interest is in the structure properties of discrete objects, particularly partially ordered sets and random graphs.
