My research has been supported with grants from CRICO and the Canadian Institutes of Health Research (CIHR).

Publications

If you have any difficulty obtaining a copy of a paper of mine, please email me.

Recent work

• Improved intrahospital transport time via proximity-based staff assignments (with Sun, Zenteno Langle, Viscomi, Raeke, Daily, Dunn, and Levi), under review (2025).
• A prescriptive optimization approach to identification of minimal barriers for surgical patients (with Khaniyev, Safavi, Zenteno, Starobinski, Daily, Dunn, and Levi), under review (2024).
• Variation in duration of emergency department boarding by patient demographics (with Prucnal, Meeker, Cash, Hillmann, Knuesel, Moore, Macias-Konstantopoulos, and Sonis), under review (2025). (SAEM abstract)

Hospital operations, quality, and safety

• Effect of automated real-time feedback on early-sepsis care: A pragmatic clinical trial (with Leisman, Deng, Lee, Flynn, Rutkey, Gay, Dutta, McEvoy, Dunham, Mort, Lucier, Sonis, Aaronson, Hibbert, and Safavi), Critical Care Medicine (2024). (An alternative Bayesian perspective on the ICU transfer rates)
• Evaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatients (with Braaksma, Zenteno, Ugarph, Levi, Daily, Orcutt, Turcotte, and Dunn), Health Care Management Science (2023). (Official reference)
• Impact of a hospital policy to redistribute admission flow across clinical services for capacity relief during COVID-19 surges (with Safavi, Moore, Bravard, Britton, and Dunn), Journal of Hospital Medicine (2023).
• Forecasting hospital-level COVID-19 admissions using real-time mobility data (with Klein, Zenteno, Joseph, Zahedi, Hu, Kraemer, Chinazzi, Klompas, Vespignani, Scarpino, and Salmasian), Communications Medicine (2023).
• Design and performance of a COVID-19 hospital recovery model (with Hu, Zenteno, Koehler, Daily, Levine, Dunn, and Safavi), Annals of Surgery Open (2022).
• The power of modeling in emergency preparedness for COVID-19: A moonshot moment for hospitals (with Safavi, Prestipino, Zenteno, Hu, Daily, Koehler, Biddinger, and Dunn), Disaster Medicine and Public Health Preparedness (2021).
• Development and validation of a machine learning model to aid discharge processes in surgical inpatients (with Safavi, Khaniyev, Seelen, Zenteno, Zanger, Daily, Levi, and Dunn), JAMA Network Open (2019).
• Health system innovation: analytics in action (with Hu, Levi, Safavi, and Zenteno), INFORMS Tutorials in Operations Research (2019). (Official reference)

Emergency medicine

• Fewer emergency department alarms is associated with reduced use of medications for acute agitation (with Lee, Lowe, Hayes, Cash, Berlyand, Baugh, Nentwich, Macias-Konstantopoulos, Raja, and Sonis), American Journal of Emergency Medicine (2024).
• Multisite development and validation of machine learning models to predict severe outcomes and guide decision-making for emergency department patients with influenza (with Hinson, Zhao, Klein, Badaki-Makun, Rothman, Smith, Fenstermacher, Toerper, Pekosz, and Levin), JACEP Open (2024).
• A successful campaign to increase use of the sepsis order set in the emergency department (with Berlyand, Black, Lee, Aaronson, Filbin, Mort, Dutta, Rhee, Hibbert, Cole Turno, Durocher, Aristizabal, and Sonis), American Journal of Emergency Medicine (2023).
• Impact of emergency department crowding on discharged patient experience (with Berlyand, White, Dutta, Baugh, Wilcox, Yun, Raja, and Sonis), Western Journal of Emergency Medicine (2023).

Perioperative care

• Improving operating room and surgical instrumentation efficiency, safety, and communication via the implementation of emergency laparoscopic cholecystectomy and appendectomy conversion case carts (with Friend, Fitzgerald-Brown, Fernandez, Addesa, Cassidy, Rosa, Ouellette, Plunkett, Spracklin, Osgood, Zenteno, and Levine), Perioperative Care and Operating Room Management (2017).
• Implementation of the Vocera Communication System in a quaternary perioperative environment (with Friend, Jennings, and Levine), Journal of Medical Systems (2017).
• Data-driven optimization of operating rooms blocks (with Bertsimas, Graue, McCord, and Tandon), unpublished (2018).

Methods/older

• Certifiably optimal low rank factor analysis (with Bertsimas and Mazumder), Journal of Machine Learning Research (2017). (github code)
• Characterization of the equivalence of robustification and regularization in linear and matrix regression (with Bertsimas), European Journal of Operational Research (2017). (Preprint)
• The Trimmed Lasso: Sparsity and robustness (with Bertsimas and Mazumder), unpublished (2017). (github code)
• On structural decompositions of finite frames (with Chan, Narayan, Stokols, and Theobold), Advances in Computational Mathematics (2016), 721-756. (Preprint)
• Factor posets of frames and dual frames in finite dimensions (with Berry, Evert, Kim, Klingler, Narayan, and Nghiem), Involve (2016). (Preprint)
• Diagram vectors and tight frame scaling in finite dimensions (with Kim, Logan, Mayfield, Narayan, Petro, and Sheperd), Operators and Matrices (2014), 78-88. (Preprint)
• Maximum robustness and surgery of frames in finite dimensions (with Kim, Logan, Mayfield, Narayan, and Sheperd), Linear Algebra and its Applications (2013). (Preprint)
• Orphan works and the global interplay of democracy, copyright, and access, Legal Issues in Global Contexts: Perspectives on Technical Communication in an International Age, edited by St.Amant and Rife (2014). (Final book)

My Ph.D. thesis is Sparsity and robustness in modern statistical estimation. Partial lists of my publications can also be found elsewhere:

• Google Scholar profile
• ORCiD profile (0000-0002-9988-260X)

Talks

An incomplete list of past talks:

• The burden of evidence for operations research in hospitals, v2.0
  • POMS 2025 - May 2025
  • INFORMS 2024 - October 2024
• The burden of evidence for operations research in hospitals
  • INFORMS Healthcare 2023 - July 2023
  • IMSI workshop on Analytics for Improved Healthcare - April 2023
• Hospital capacity planning during COVID-19
  • Harvard Data Science Institute seminar - December 3, 2020 (video recording)
  • UMass Amherst seminar - October 23, 2020
• Health system innovation: Analytics in action
  • INFORMS 2019, Seattle, WA - October 2019 (video recording)
• Optimizing the bed allocation in hospitals
  • INFORMS Healthcare 2019, Cambridge, MA - July 2019
  • POMS 2019, Washington, DC - May 2019
• The Trimmed Lasso
  • INFORMS 2017, Houston, TX - October 24, 2017
  • DRO seminar, Columbia University - January 26, 2018
• Optimal low rank factor analysis
  • INFORMS 2016, Nashville, TN - November 14, 2016
  • SIAM Conference on Optimization 2017, Vancouver, BC - May 22, 2017
• The role of robustness in modern statistical regression
  • ISMP 2015, Pittsburgh, PA - July 16, 2015
  • ORC seminar, MIT - September 24, 2015
  • INFORMS 2015, Philadelphia, PA - November 1, 2015
  • CMStatistics 2015, London - December 13, 2015