William B. Haskell
Decision Sciences · Purdue University West Lafayette
Publications
98
Citations
846
Est. group size
—
Recurring co-author estimate
Active years
15
Publishing since 2011
William B. Haskell works in decision sciences, developing mathematical methods for making decisions under uncertainty and risk. His work spans optimization theory, stochastic control, and reinforcement learning, with applications to supply chain contracts, inventory management, resource scheduling, and nonprofit operations. Much of the research is methodological, building tools that help decision-makers account for risk aversion and limited data when planning under uncertainty.
Publication output was higher earlier in the decade (11-17 papers/year from 2017-2020) and has declined to a steadier but lower pace of roughly 2-6 papers/year since 2021.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Learning to Price Supply Chain Contracts Against a Learning Retailer
Management Science · 2025
- Preference Robust Ambiguity-Averse Optimization
SSRN Electronic Journal · 2025
- Error Propagation in Asymptotic Analysis of the Data-Driven (<i>s</i>, <i>S</i>) Inventory Policy
Operations Research · 2024
- Supply Chain Contracts in the Small Data Regime
Manufacturing & Service Operations Management · 2024
- The Price of Fairness of Scheduling a Scarce Resource
Operations Research · 2024
- Managing Volunteers and Paid Workers in a Nonprofit Operation
Management Science · 2023
- An Inexact Primal-Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems
Journal of Optimization Theory and Applications · 2023
- A dynamic analytic method for risk-aware controlled martingale problems
The Annals of Applied Probability · 2023
- Preference Robust Optimization for Choice Functions on the Space of CDFs
SIAM Journal on Optimization · 2022
- A flexible system design approach for multi-facility capacity expansion problems with risk aversion
IISE Transactions · 2022
- Learning to Price Supply Chain Contracts against a Learning Retailer
SSRN Electronic Journal · 2022
- Preference Robust Optimization for Choice Functions on the Space of CDFs
SSRN Electronic Journal · 2022
- Learning to Price Supply Chain Contracts against a Learning Retailer
arXiv (Cornell University) · 2022
- A Multilevel Simulation Optimization Approach for Quantile Functions
INFORMS journal on computing · 2021
- Risk Aware Minimum Principle for Optimal Control of Stochastic Differential Equations
IEEE Transactions on Automatic Control · 2021
- arXiv (Cornell University)×33
- IEEE Transactions on Automatic Control×4
- Annals of Operations Research×3
- SSRN Electronic Journal×3
- Management Science×2
- Xian Yu
Decision Sciences · The Ohio State University
- Güzi̇n Bayraksan
Decision Sciences · The Ohio State University
- Zedong Peng
Decision Sciences · Purdue University West Lafayette
- Mengshi Lu
Business, Management and Accounting · Purdue University West Lafayette
- Tengyu Xu
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile