Overview
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.
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.
Current Appointments & Affiliations
Associate Professor of Business Administration
·
2019 - Present
Fuqua School of Business
Recent Publications
Dynamic Resource Allocation: The Geometry and Robustness of Constant Regret
Journal Article Mathematics of Operations Research · November 11, 2024 We study a family of dynamic resource allocation problems, wherein requests of different types arrive over time and are accepted or rejected. Each request type is characterized by its reward, arrival probability, and resource consumption. An upper ... Full text CiteLogarithmic regret in the dynamic and stochastic knapsack problem with equal rewards
Journal Article Stochastic Systems · June 1, 2020 We study a dynamic and stochastic knapsack problem in which a decision maker is sequentially presented with items arriving according to a Bernoulli process over n discrete time periods. Items have equal rewards and independent weights that are drawn from a ... Full text CiteStrategic open routing in service networks
Journal Article Management Science · 2018 Link to item CiteRecent Grants
CAREER: The effects of centralized and decentralized sequential decisions on system performance
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2016 - 2021Conference on Probability Theory and Combinatorial Optimization
ConferencePrincipal Investigator · Awarded by National Science Foundation · 2015 - 2016View All Grants
Education, Training & Certifications
University of Pennsylvania ·
2012
Ph.D.
University of Pennsylvania ·
2009
M.A.
University of Turin (Italy) ·
2007
M.S.
University of Turin (Italy) ·
2004
B.S.