- Associate Professor of Business Adminstration
- Associate Professor of Mathematics (Secondary)
- Associate Professor of Statistical Science (Secondary)
Alessandro Arlotto is an Associate Professor of Business Administration, Mathematics, and Statistical Science at Duke University. Alessandro holds a primary appointment in the Decision Sciences area of Duke University’s Fuqua School of Business and secondary appointments in the departments of Mathematics and Statistical Science. Alessandro received his Ph.D. in 2012 from the University of Pennsylvania and joined Duke University in the same year.
Alessandro’s research interests are in probability, optimization and their applications to business and economics. His research has appeared in several journals including the Annals of Applied Probability, Management Science, Mathematics of Operations Research, Operations Research, and Stochastic Processes and their Applications. Alessandro is a recipient of the Faculty Early Career Development (CAREER) award from the National Science Foundation.
At Duke, Alessandro teaches the core course Probability and Statistics in the Daytime and Executive MBA programs as well as the Quantitative Business Analysis course for the Master in Management Studies. Alessandro also teaches the graduate course Stochastic Models.
Arlotto, A, Chick, SE, and Gans, N. "Optimal hiring and retention policies for heterogeneous workers who learn." Management Science 60.1 (January 2014): 110-129. Full Text
Arlotto, A, Chen, RW, Shepp, LA, and Steele, JM. "Online selection of alternating subsequences from a random sample." Journal of Applied Probability 48.4 (December 2011): 1114-1132. Full Text
Arlotto, A, and Steele, JM. "Optimal sequential selection of a unimodal subsequence of a random sequence." Combinatorics, Probability and Computing 20.06 (November 2011): 799-814. Full Text
Arlotto, A, Gans, N, and Chick, S. "Optimal employee retention when inferring unknown learning curves." Ed. B Johansson, S Jain, J Montoya-Torres, J Hugan, and E Yücesan. Proceedings of the 2010 Winter Simulation Conference (2010): 1178-1188. Full Text