Research

Papers

Published and Under Review

1. XSTrees: Extended Sampled Tree Ensembles for Classification and Regression (with G. Perakis and D. Singhvi)​

  • ​​ORC Best Student Paper Award 2021 (Massachusetts Institute of Technology)
  • Spotlight Session in the Revenue Management and Pricing Conference 2021 
  • Submitted to Operations Research

2. Ancillary Services in Targeted Advertising: from Prediction to Prescription (with G. Perakis, D. Singhvi (MIT), A. Borenstein, J. Lua, A. Mangal, and S. Poninghaus (Wayfair))

  • Honorable Mention (Second Place) at the MSOM Practice-Based Research Competition 2021 (Manufacturing and Service Operations Management Society)
  • Deployed by our industry collaborator Wayfair, generated $6M in the A/B testing phase, estimated impact of $80M-100M in incremental revenue annually
  • Conditionally Accepted to Manufacturing and Service Operations Management

3. The Power of Analytics in Epidemiology for COVID-19: Prediction, Prevalence and Vaccine Allocation (with G. Perakis et al.)

4. From Predictions to Prescriptions: A Data-driven Response to COVID-19 (with D. Bertsimas et al.)

5. Forecasting COVID-19 and Analyzing the Effect of Government Interventions (with M. Li, H. Tazi, T. Trikalinos, N. Trichakis, and D. Bertsimas)

6. A Multipeak SIR Based Model: Learning Waves and Optimizing Interventions (with G. Perakis, D. Singhvi, and L. Thayaparan)

  • Accepted at the Healthcare Operations SIG Meeting 2021
  • Published in Production and Operations Management

7. Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems (with D. Bertsimas)

  • Accepted to Journal of Optimization​​

8. Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Moirtality in the US (with E. Cramer et al.)

  • Published in Proceedings of the National Academy of Sciences

9. A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Actionable Insights (with M. Canellas, K Kotkowski, D. Pachamanova, G. Perakis, and A. Tsiourvas)

  • Published in Annals of Emergency Medicine

10. The Role of Optimization in Data-Driven Decision Making (with L. Baardman, R. Cristian, G. Perakis, D. Singhvi, and L. Thayaparan)

  • Minor Revision in Mathematical Programming

11. Slowly Varying Regression under Sparsity (with D. Bertsimas, V. Digalakis, and M. Li)

  • Submitted to Operations Research

12. Learning the Minimal Representation of a Dynamic System from Transition Data (with A. Bennouna, D. Pachamanova, and G. Perakis)​

  • Submitted to Management Science

Working Papers

13. Machine Learning for Preventive Maintenance at OCP (with D. Bertsimas, V. Digalakis (MIT), O. Nejjar, A. Bentourki, and A. Jbili (OCP))

  • Implemented in collaboration with OCP, the larget phosphates mining company in the world. Saved 2.5M MAD (~$250,000) in the testing phase, with 200M MAD (~$20M) in expected profits after full-scale deployment
  • To submitted to Machine Learning with Applications

14. Improving Emergency Department Operations with Predictive-Prescriptive Analytics (with M. Canellas, D. Pachamanova, G. Perakis, and A. Tsiourvas)

  • To be submitted to Annals of Emergency Medicine

15. The United States COVID-19 Forecast Hub Dataset (with E. Cramer et al.)

  • To be submitted to Scientific Data - Nature

Honors and Awards

  • 2021 - ICSS Best Conference Paper Award (Institute for Operations Research and the Management Sciences)
  • 2021 - Second Place in the Doing Good with Good OR Competition (Institute for Operations Research and the Management Sciences)
  • 2021 - Second Place in the Public Sector OR Best Paper Award (Institute for Operations Research and the Management Sciences)
  • 2021 - Finalist at the Service Science Section Best Student Paper (Institute for Operations Research and the Management Sciences)
  • 2021 - ORC Best Student Paper Award (MIT)
  • 2021 - Honorable Mention (Second Place) at the MSOM Practice-Based Research Competition (Manufacturing and Service Operations Management Society)
  • 2021 - Innovative Application in Analytics Awars (Institute for Operations Research and the Management Sciences, Analytics Society)
  • 2021 - Second Place Winner of the Boston Regional Datathon (Citadel and Citadel Securities)
  • 2020 - Pierskalla Award (Institute for Operations Research and the Management Sciences, Analytics Society)
  • 2020 - Mathematical Modeling, Control, and Logistics COVID-19 Award (C3.ai Digital Transformation Institute)
  • 2020 - Second Place Winner of the Data Open Competition (Citadel and Citadel Securities)
  • 2019 - Robert B. Guenassia Award (MIT)
  • 2018 - Postgraduate Excellence Scholarship (OCP Foundation)
  • 2017 - Master of Business Analytics Class of 2017 Valedictorian (MIT)
  • 2017 - Academic Achievement Award (MIT, for outstanding academic achievement and contribution to the MIT community overall)
  • 2016 - Dean's Fellowship (MIT, for outstanding academic record, personal achievements and professional promise)
  • 2016 - First Prize of the Centrale Paris Business Games (Centrale Paris)
  • 2015 - First Prize of the Centrale Paris Innovative Project (Centrale Paris)
  • 2014 - National Merit Scholarship (Moroccan Ministry of Higher Education, Scientific Research and Professional Training)
  • 2012 - Gold Medal in Casablanca Mathematical Olympiads (University of Hassan II, ranked first)