Alexander Shapiro

Alexander Shapiro is the A. Russell Chandler III Chair and Professor at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. His work bridges optimization and statistics, focusing on stochastic programming, risk analysis, and simulation-based optimization. He has received numerous accolades, including the Khachiyan Prize (2013), Dantzig Prize (2018), and John von Neumann Theory Prize (2021).

• Education: Ph.D. in Applied Mathematics-Statistics (Ben-Gurion University, 1981), M.Sc. in Mathematics (Moscow University, 1971)

His research explores stochastic programming, risk-averse optimization, and multivariate statistical analysis, with recent work on distributionally robust control, Bayesian stochastic methods, and convex multistage optimization. Publications highlight theoretical advancements and computational frameworks for uncertainty modeling.

Recent articles focus on asymptotics (2025), duality in MDPs (2023-2024), and statistical inference (2014-2024). These span stochastic control, robustness, and time consistency, reflecting his expertise in bridging probability theory with large-scale optimization.

Scientific awards:

• Khachiyan Prize of INFORMS (2013)
• Dantzig Prize (2018)
• John von Neumann Theory Prize (2021)
• Election to National Academy of Engineering (2020)

Dr. Shapiro has served as Area Editor (Optimization) for the Operations Research Journal and Editor-in-Chief of Mathematical Programming, Series A, demonstrating sustained leadership in his field.