| Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 321* | 2022 |
| Ensemble Forecasts of Coronavirus Disease 2019 in the US EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... MedRXiv, 2020 | 219 | 2020 |
| From Predictions to Prescriptions: A Data-driven Response to COVID-19 D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ... Health care management science 24 (2), 253-272, 2021 | 121* | 2021 |
| Forecasting COVID-19 and Analyzing the Effect of Government Interventions ML Li, HT Bouardi, O Skali Lami, TA Trikalinos, N Trichakis, D Bertsimas Operations Research, 2022 | 117* | 2022 |
| The United States COVID-19 Forecast Hub Dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... medRxiv, 2021 | 107 | 2021 |
| Optimizing Vaccine Allocation to Combat the COVID-19 Pandemic D Bertsimas, J Ivanhoe, A Jacquillat, M Li, A Previero, O Skali Lami, ... medRxiv, 2020 | 58 | 2020 |
| COVID‐19: A Multiwave SIR‐based Model for Learning Waves G Perakis, D Singhvi, O Skali Lami, L Thayaparan Production and Operations Management, 2022 | 42* | 2022 |
| The Role of Optimization in Some Recent Advances in Data-driven Decision-making L Baardman, R Cristian, G Perakis, D Singhvi, O Skali Lami, ... Mathematical Programming, 1-35, 2022 | 19 | 2022 |
| COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation A Bennouna, J Joseph, D Nze-Ndong, G Perakis, D Singhvi, OS Lami, ... Manufacturing & Service Operations Management, 2022 | 17 | 2022 |
| Slowly Varying Regression under Sparsity D Bertsimas, V Digalakis Jr, ML Li, OS Lami Operations Research, 2024 | 10 | 2024 |
| Learning the Minimal Representation of a Continuous State-Space Markov Decision Process from Transition Data A Bennouna, D Pachamanova, G Perakis, O Skali Lami Management Science, 2024 | 9* | 2024 |
| Ancillary Services in Targeted Advertising: From Prediction to Prescription A Borenstein, A Mangal, G Perakis, S Poninghaus, D Singhvi, ... Manufacturing & Service Operations Management 25 (4), 1285-1303, 2023 | 8* | 2023 |
| COVIDAnalytics D Bertsimas, L Boussioux, R Wright, A Delarue, D Kitane, G Lukin, M Li, ... MIT Operations Research Center. Retrieved May 19, 2020, 2020 | 6 | 2020 |
| Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems D Bertsimas, O Skali Lami | 4 | 2021 |
| Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments MM Canellas, DA Pachamanova, G Perakis, OS Lami, A Tsiourvas Production and Operations Management, 10591478241240390, 2024 | 3 | 2024 |
| The Power of Analytics in Epidemiology for COVID-19 MA Bennouna, DAN Ndong, G Perakis, D Singhvi, O Skali Lami, ... INFORMS International Conference on Service Science, 254-268, 2021 | 3 | 2021 |
| A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Real-Time, Actionable Insights MM Canellas, KA Kotkowski, DA Pachamanova, G Perakis, MA Reznek, ... Annals of Emergency Medicine, 2024 | 2* | 2024 |
| Extended Sampled Tree Ensembles for Classification and Regression G Perakis, D Singhvi, O Skali Lami Available at SSRN 3505431, 2019 | 1 | 2019 |
| Disparities in Emergency Department Wait Times for Female, Transgender Female, Black and Non-English-Speaking Patients M Canellas, G Perakis, D Pachamanova, OS Lami, A Tsiourvas Annals of Emergency Medicine 80 (4), S39, 2022 | | 2022 |
| Predictive and Prescriptive Analytics in Operations Management O Skali Lami Massachusetts Institute of Technology, 2022 | | 2022 |
Dimitris BertsimasBoeing Professor of Operations Research, MITVerified email at mit.edu
