Closer to home: an estimate-then-optimize approach to improve access to healthcare services
Joint with Jingyuan Hu, Ashvin Gandhi, and Elisa Long
Articles in Advance in Management Science, July 2025
[link] [press: UCLA Anderson Review] [awards: finalist Pierskalla 2024]
Primary Care First initiative: impact on care delivery and outcomes
Joint with Elodie Adida
Manufacturing and Service Operations Management, 2023
[journal link] [press: UCLA Anderson Review]
Interpretable prediction rules for congestion risk in ICUs
Joint with Cynthia Rudin, Yaron Shaposhnik, and Yuting Yuan
Stochastic Systems, 2023
[journal link] [press: UCLA Anderson Review]
Care coordination for healthcare referrals under a shared-savings program
Joint with Retsef Levi, Georgia Perakis, and Gonzalo Romero
Production and Operations Management, 2023
Optimization-driven framework to understand healthcare networks' cost and resource allocation
Joint with Marcus Braun, Vivek Farias, Retsef Levi, and collaborators C. Lynch, J. Tumolo, and R. White (MD) from Beth Israel Deaconess Medical Center
Healthcare Management Science, 2021
Computing the conditional entry-state distribution in Erlang loss systems
Joint with Bobby Nyotta and Keith Chen
OR Letters, 2021
Flexible drug approval policies
Joint with Taylor Corcoran and Elisa Long
Manufacturing & Service Operations Management, 2020
[journal link] [press: UCLA Anderson Review] [awards: 1st place Public Sector OR paper competition, 3rd place CHOM Best Paper Award, finalist MSOM student paper competition and Pierskalla Paper competition]
Mining optimal policies: A pattern recognition approach to model analysis
Joint with Yaron Shaposhnik
INFORMS Journal on Optimization, 2019
Prospective financial modeling to predict outcomes and quantify risk in episode-based payment models
Joint with M.D.s David Johnson, Mark Litwin, Christopher Saigal, and UCLA Medical Center team E. Kwok, C. Ahn, A. Pashchinskiy
The American Journal of Managed Care, 2021
[journal link] [press: UCLA Anderson Review]
Financial Margins for Prostate Cancer Surgery: Quantifying the Impact of Modifiable Cost Inputs in an Episode Based Reimbursement Model
Joint with M.D.s David Johnson, Aaron Laviana, Vishnukamal Golla, Thomas Rosenthal, Mark Litwin, Christopher Saigal, and UCLA Medical Center team E. Kwok, C. Ahn, A. Pashchinskiy
The Journal of Urology, 2019
Contracts for Healthcare Referral Services: Coordination via Outcome-Based Penalty Contracts
Joint with Elodie Adida
Management Science, 2018
[journal link] [press: UCLA Anderson Review]
The nature and sources of variability in pediatric surgical case duration
Joint with Retsef Levi and Boston Children's Hospital M.D.s Lynne Ferrari and Michael Mcmanus
Paediatric Anaesthesia, 2015
Mathematical models for optimizing production chain planning in salmon farming
Joint with Guillermo Duran, Abilio Lucena, Javier Marenco, Diego Moran and Andres Weintraub
International Transactions in Operational Research, 2013
A branch-and-cluster coordination scheme for selecting prison facility sites under uncertainty
Joint with Patricio Hernandez, Antonio Alonso-Ayuso, Laureano Escudero, Monique Guinard, Vladimir Marianov, and Andres Weintraub
Computers & Operations Research, 2012
Enhancing safety signaling: integrating clinical trials and post-marketing adverse event reports
Joint with Yunliang (Lawrence) Chen and John Silberholz
Major Revision in Manufacturing & Service Operations Management, May 2024
[link]
A behavioral study of self-other adoption discrepancies in explainable artificial intelligence
Joint with Zhezhen (Dawn) He, Yaron Shaposhnik, and Leon Valdes
Submitted to Management Science, Nov 2024
[link]
Incentivizing Drug Rediscovery: exclusivity extension and priority review for repurposed therapeutics
Joint with Elodie Adida
Submitted to Management Science, Jan 2025
[link]
Predicting long-term opioid use via interpretable machine learning
Joint with Jingyuan Hu and Elisa Long
Hurricane shelter planning: an estimate-then-optimize approach for improving evacuation response
Joint with Yu Lu and Elisa Long