Alessandro Arlotto, Associate Professor of Fuqua School of Business and Associate Professor of Mathematics and Statistical Science
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.
- Contact Info:
Teaching (Spring 2018):
- BA 915.01, STOCHASTIC MODELS
- Fuqua BERNTSEN, TuTh 10:05 AM-12:00 PM
- (also cross-listed as MATH 742.01, STA 715.01)
|Ph.D.||University of Pennsylvania||2012|
|M.S.||University of Turin (Italy)||2007|
|B.S.||University of Turin (Italy)||2004|
- Recent Publications
- Arlotto, A; Steele, JM, A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming,
Mathematics of Operations Research, vol. 41 no. 4
pp. 1448-1468 [doi]
- Arlotto, A; Mossel, E; Steele, JM, Quickest online selection of an increasing subsequence of specified size,
Random Structures and Algorithms, vol. 49 no. 2
pp. 235-252 [doi]
- Arlotto, A; Nguyen, VV; Steele, JM, Optimal online selection of a monotone subsequence: a central limit theorem,
Stochastic Processes and their Applications, vol. 125 no. 9
pp. 3596-3622 [doi]
- Arlotto, A; Gans, N; Steele, JM, Markov Decision Problems Where Means Bound Variances,
Operations Research, vol. 62 no. 4
pp. 864-875 [doi]
- Arlotto, A; Chick, SE; Gans, N, Optimal Hiring and Retention Policies for Heterogeneous Workers Who Learn,
Management Science, vol. 60 no. 1
pp. 110-129 [doi]
- Recent Grant Support
- CAREER: The effects of centralized and decentralized sequential decisions on system performance, National Science Foundation, 1553274, 2016/05-2021/04.
- Conference on Probability Theory and Combinatorial Optimization, National Science Foundation, 2015/02-2016/01.