About

I am a Senior Applied Scientist at Machinify. Previously, I completed my Ph.D. in Operations Research at the Massachusetts Institute of Technology, where I was advised by Prof. Retsef Levi. I also hold a Master of Business Analytics from MIT and a Master of Science in Applied Mathematics from École Polytechnique (Paris). 

My research aims to leverage AI to improve large-scale operations:

• In healthcare systems, (i) my work at Machinify focuses on reshaping healthcare payment integrity and operational efficiency; (ii) my collaboration with Takeda Pharmaceuticals has led to a novel AI-enabled system for drug-safety pharmacovigilance; and (iii) my research at MIT developed an early-warning system for infectious respiratory viruses.

• In food systems, (i) I designed operational models for food-safety management, and (ii) my most recent research focuses on evaluating the potential of AI-powered agricultural extension services to enhance food security.

• Beyond these domains, my broader research explores how AI can create transformative impact in areas such as e-governance and cybersecurity. 

I am passionate about translating research into practice through collaborations such as the Food Supply Chain Analytics and Sensing initiative and the MIT-Takeda program. 

Earlier in my career, I gained cross-sector experience in finance, at BNP Paribas and Rothschild & Co, healthcare, at Clinica International, and transportation, at MBTA.

Papers 

[1] Predicting the Spread of SARS-CoV-2 Variants: An AI-Enabled Early Detection 

With Retsef Levi and Shoshy Altuvia; Published in Proceedings of the National Academy of Sciences (PNAS) Nexus

[2] Predicting coronavirus disease 2019 infection risk and related risk drivers in nursing homes: A machine learning approach 

With C.L. Sun, E. Zuccarelli, J, Lee, J. Muller, K. Scott, A. Lujan, R. Levi; Published in Journal of the American Medical Directors Association

[3] Transmission Interaction Persistence (TIP): A Supply Chain and Epidemiological Model for Zoonotic Diseases Outbreaks 

With Retsef Levi, Nicholas Renegar;  Major Revision in Manufacturing & Service Operations Management

[4] How to Improve Citizen Engagement on Public Service Platforms? The Impact of Government Responsiveness 

With Y. Karen Zheng and Jennifer Gao;  2nd round of reviews in Manufacturing & Service Operations Management

★ Selected for the 2024 MSOM Service Management Special Interest Group 

[5] Supply Chain Characteristics as Predictors of Cyber Risk: A Machine-Learning Assessment 

With Kevin Hu, Raphael Yahalom, Retsef Levi; Published in IEEE Xplore

[6] AI-Enabled Post-Marketing Pharmacovigilance 

With Retsef Levi and Takeda Collaborators. Working paper. 

[7] Multi-Wave Respiratory Viruses Infections: The Role of Variants and Population Immunity 

With Retsef Levi and Yanzhe Ma. Working paper. 

[8] Food Safety Risk Propagation Within Agricultural Supply Chains 

With Retsef Levi, Jane Wang and Y. Karen Zheng. Working paper. 

Teaching 

Teaching Assistant, MIT Sloan School of Management:

• 15.761 Operations Management, MBA (Fall 2023)

• 15.731 Risk Management, Executive MBA (IAP 2023)

• 15.734 Operations Management, Executive MBA (Summer 2022)

• 15.S51 Innovation Through Analytics and Sensing in Food and Agriculture Systems, Executive MBA (IAP 2022, 2023)

• 15.S23 Innovating For Impact, Executive MBA (IAP 2021)

Talks

• How to Improve Citizen Engagement on Public Service Platforms? The Impact of Government Responsiveness

MSOM 2024 Service Management Special Interest Group

POMS 2023 Session on Data Driven Operations

• Transmission Interaction Persistence (TIP): A Supply Chain and Epidemiological Model for Zoonotic Diseases Outbreaks

POMS 2023 Session on Agriculture Supply Chain Analytics

INFORMS 2022 Session on Supply Chain Analytics

INFORMS 2021 Session on Food and Agriculture Supply Chain Analytics

• Supply Chain Characteristics as Predictors of Cyber Risk: A Machine-Learning Assessment

Charter of Trust Conference Keynote Presentation 2021

MIT Machine Intelligence for Manufacturing and Operations Forum 2021

Honors and Awards 

• Honorable mention  at the ORC Best Student Paper award, 2023

• Second Place Winner of the Boston Regional Datathon (Citadel and Citadel Securities), 2021

• MIT Dean's Fellowship for outstanding academic record, personal achievements and professional promise, 2020

• French-American Chamber of Commerce Foundation fellowship, 2020

• Outstanding Investment Prize for contribution to student life, 2020

• Agency for French Education Abroad fellowship for academic excellence, 2014-2019