Publications

Selected Working Papers

• Raman, N., Wiberg, H. (2025). Assortment Optimization for Patient-Provider Matching. arXiv.

• Verma, S., Tayur, S., Wiberg, H., Zhu, W. (2025). From Data to Dose: Personalized Dosing with Data Generation and Expert Feedback.

• Neha, Wiberg, H., Zhang, P. (2025). Tactical Planning of School Bus Operations in Potential Delays.

• Waskom, M. L., Tan, K., Wiberg, H., Cohen, A. B., Wittmerhaus, B., Shapiro, W. (2023). A Hybrid Approach to Scalable Real-World Data Curation by Machine Learning and Human Experts. medRxiv.

Journal Articles

• Maragno, D., Wiberg, H., Bertsimas, D., Bilber, S. I., den Hertog, D., & Fajemisin, A. (2023). Mixed-Integer Optimization with Constraint Learning. Operations Research, 73(2), 1011-1028.

• Luckhurst, C., Wiberg, H., Masiakos, P., … & Bertsimas, D. (2023). Pediatric Cervical Spine Injury Following Blunt Trauma in Children Younger Than 3 Years Old; A Multi-Center Follow Up Study and a Novel Prediction Model. JAMA Surgery, 158(11), 1126-1132.

• Soenksen, L., Ma, Y., Zeng, C., Boussioux, L., Villalobos Carballo, K., Na, I., Wiberg, H., Li, M., Fuentes, I., & Bertsimas, D. (2022). Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications. npj Digital Medicine, 5, 149.

• Bertsimas, D., Margonis, G. A., Huang, Y., Andreatos, N., Wiberg, H., Ma, Y., … Wolfgang, C. L. (2021). Towards an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence-Based Model. JCO Clinical Cancer Informatics, 5, 1220-1231.

• Wiberg, H., Yu, P., Montanaro, P., Mather, J., Birz, S., Schneider, M., & Bertsimas, D. (2021). Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach. JCO Clinical Cancer Informatics, 5, 904-911.

• Bertsimas, D., Borenstein, A., Mingardi, L., Nohadani, O., Orfanoudaki, A., Stellato, B., Wiberg, H., et al. (2021). Personalized Prescription of ACEI/ARBs for Hypertensive COVID-19 Patients. Health Care Management Science, 1-17.

• Bertsimas, D., Boussioux, L., Cory-Wright, R., Delarue, A., Digalakis, V., Jacquillat, A., … Wiberg, H., et al. (2021). From Predictions to Prescriptions: A Data-Driven Response to COVID-19. Health Care Management Science, 1-20.

• Bertsimas, D., Lukin, G., Mingardi, L., Nohadani, O., Orfanoudaki, A., Stellato, B., Wiberg, H., et al. (2020). COVID-19 Mortality Risk Assessment: An International Multi-Center Study. PLOS One, 15(12), e0243262.

• Bertsimas, D., & Wiberg, H. (2020). Machine Learning in Oncology: Methods, Applications, and Challenges. JCO Clinical Cancer Informatics, 4, 885-894.

• Bertsimas, D., Orfanoudaki, A., & Wiberg, H. (2020). Interpretable Clustering: An Optimization Approach. Machine Learning, 110(1), 89-138.

• Bertsimas, D., Masiakos, P. T., Mylonas, K. S., & Wiberg, H. (2019). Prediction of Cervical Spine Injury in Young Pediatric Patients: An Optimal Trees Artificial Intelligence Approach. Journal of Pediatric Surgery, 54(11), 2353-2357.

• Jian, N., Freund, D., Wiberg, H. M., & Henderson, S. G. (2016). Simulation Optimization for a Large-Scale Bike-Sharing System.Winter Simulation Conference (WSC), IEEE, 602-613.

Books

• Bertsimas, D., Orfanoudaki, A., & Wiberg, H. (2025). The Analytics Edge in Healthcare.

Reports

• Kulkarni, R., Brero, G., Ding, Y., Gupta, S., Koenig, S., Krishnan, R., Serra, T., Vayanos, P., Wasserkrug, S., Wiberg, H. (2025). AI/OR Workshop Series Final Report: Making a Case for Research Collaboration Between Artificial Intelligence and Operations Research Experts. Washington, D.C.: Computing Research Association (CRA).

Media

• Wasserkrug, S., Cheriyan, V., Dai, T., …, & Wiberg, H. (2025). A Prominent Role for INFORMS in the Age of AI. ORMS Today.

• INFORMS. (2024). Changing the Landscape of Healthcare as we Know it—The Role and Impact of AI. [Video]. YouTube.