Research
Book Chapters
Retail Labor Scheduling and the Potential Role of AI (2025) with A. Raman.
In M. C. Cohen and T. Dai (Eds.), AI in Supply Chains: Perspectives from Global Thought Leaders.
Springer Series in Supply Chain Management, Vol. 27
Academic Articles
Published
Estimation of the Number of Components in Nonparametric Finite Mixture Models (2021) with E. Mbakop.
The Annals of Statistics 49(4): 2178-2205
The Effects of Fair Workweek Laws on Worker Schedules: Evidence from Los Angeles (2025) with A. Raman.
Management Science (Forthcoming)
Supply Chain Management in the AI Era: A Vision Statement from the Operations Management Community (2025) with M. Cohen, T. Dai, G. Peraki et al.
Manufacturing & Service Operations Management (Forthcoming)
Under Review
Disclosure-Driven Social Engagement in Supply Chains (2021) with A. Wu.
1st Place POMS College of Sustainable Operations: Best Student Paper (2021)
Manufacturing & Service Operations Management (Major Revision)
Human-Algorithm Interactions in Labor Scheduling Decisions (2026) with A. Raman and J. Tamayo.
Management Science (Major Revision)
Employee Time-Off Request Management in Retail Stores (2024)
Management Science (Resubmitted after Reject and Resubmit)
What Makes Scheduling "Responsible"? Evidence from 280 Million Shifts Across 20 Retailers (2025) with B. Apaolaza and S. Gallino.
Manufacturing & Service Operations Management (Major Revision)
Latent Engagement States and Worker Behavioral Dynamics: A Hidden Markov Model Approach (2025) with S. Gallino and A. Raman
Production and Operations Management (Reject and Resubmit)
Working Papers
The Effects of Inconsistent Work Schedules on Employee Lateness and Absenteeism (2023) with A. Raman.
The Effects of Fair Workweek Laws on Store Performance: Evidence from Los Angeles (2024)
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling (2025) with A. Raman and A. Moreno.
Practitioner Articles
Bad Data, Bad Results: When AI Struggles to Create Staff Schedules (2025) with A. Moreno and A. Raman.
Harvard Business School Working Knowledge
How One Late Employee Can Hurt Your Business: Data from 25 Million Timecards (2023) with A. Raman.
Harvard Business School Working Knowledge