Arlen Dean

Arlen Dean

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Arlen Dean’s research focuses on data-driven decision-making in complex and uncertain environments, with a particular emphasis on healthcare. In this domain, his work addresses challenges in hospital operations and medical decision-making. Beyond healthcare, he also studies problems in revenue management, including pricing and inventory management for online markets. A central theme of his research is how AI and algorithmic tools should be positioned and designed to better support human decision-makers and organizations.

Area of Expertise

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Supply Chain, Operations, and Technology

Education

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• Ph D 2024, University of Michigan
• MA 2022, University of Michigan
• BS 2019, Arizona State University

Selected Publications

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• "Dynamic care unit placements under unknown demand with learning", Manufacturing & Service Operations Management, with M Zhalechian, P Van Oyen, 2025
• "Quantile regression forests for individualized surgery scheduling", Health Care Management Review, with A Meisami, H Lam, P Van Oyen, C Stromblad, N Kastango, 2022
• "Validation of a visual field prediction tool for glaucoma", with J Fu, , M Zhalechian, P Van Oyen, S Lavieri, P Khawaja, D Stein, 2025