Alessandro Arlotto

Alessandro Arlotto
  • Associate Professor of Business Adminstration
  • Associate Professor of Statistical Science (Secondary)
  • Associate Professor of Mathematics (Secondary)
External address: 100 Fuqua Drive, Box 90120, Durham, NC 27708
Internal office address: 100 Fuqua Drive, Box 90120, Durham, NC 27708
Phone: (919) 660-7780

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.

Education & Training
  • Ph.D., University of Pennsylvania 2012

  • M.A., University of Pennsylvania 2009

  • M.S., University of Turin (Italy) 2007

  • B.S., University of Turin (Italy) 2004

Selected Grants

CAREER: The effects of centralized and decentralized sequential decisions on system performance awarded by National Science Foundation (Principal Investigator). 2016 to 2021

Conference on Probability Theory and Combinatorial Optimization awarded by National Science Foundation (Principal Investigator). 2015 to 2016

Arlotto, A, and Xie, X. "Logarithmic regret in the dynamic and stochastic knapsack problem." Corr abs/1809.02016 (2018).

Arlotto, A, Wei, Y, and Xie, X. "An adaptive O(log n)-optimal policy for the online selection of a monotone subsequence from a random sample." Random Structures and Algorithms 52.1 (January 1, 2018): 41-53. Full Text

Arlotto, A, Frazelle, AE, and Wei, Y. "Strategic open routing in service networks(Accepted)." Management Science (2018).

Arlotto, A, and Gurvich, I. "Uniformly bounded regret in the multi-secretary problem (Submitted)." (October 20, 2017).

Arlotto, A, and Steele, JM. "A central limit theorem for temporally nonhomogenous Markov chains with applications to dynamic programming." Mathematics of Operations Research 41.4 (November 2016): 1448-1468. Full Text

Arlotto, A, Mossel, E, and Steele, JM. "Quickest online selection of an increasing subsequence of specified size." Random Structures and Algorithms 49.2 (September 1, 2016): 235-252. Full Text

Arlotto, A, and Steele, JM. "Beardwood–Halton–Hammersley theorem for stationary ergodic sequences: a counterexample." The Annals of Applied Probability 26.4 (August 2016): 2141-2168. Full Text

Arlotto, A, Nguyen, VV, and Steele, JM. "Optimal online selection of a monotone subsequence: A central limit theorem." Stochastic Processes and Their Applications 125.9 (July 28, 2015): 3596-3622. Full Text

Arlotto, A, Gans, N, and Steele, JM. "Markov decision problems where means bound variances." Operations Research 62.4 (August 2014): 864-875. Full Text