Yu Ma

Integrative Artificial Intelligence

* (star) indicates first or lead PhD author.

For transparency, all co-first authors, or authors with higher orders will be displayed

IF indicates 5-year/latest impact factor for medical journals

• M3H: Multimodal Multitask Machine Learning for Healthcare Paper Media
  Dimitris Bertsimas, Yu Ma.
  To be submitted.
  
  • Oral Presentation NeurIPS AIM-FM Workshop (8% acceptance)
  • Winner of INFORMS DMDA Workshop Best Paper (Applied Track)
  • Third best talk at CMU YinzOR Flash Talk Competition
• Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications Paper Python Library
  (contribution) Luis R. Soenksen*, Yu Ma*, Cynthia Zeng*, Leonard Boussioux*, Kimberly Villalobos Carballo*, Liangyuan Na* et al.
  npj Digital Medicine, 2022.
  
  • 1st Place & Presenter: Cognex Prize at MIT Machine Intelligence for Manufacturing and Operations (MIMO) Symposium 2022 Media

Responsible Optimization and Machine Learning

• Personalized Breast Cancer Screening Paper
  Dimitris Bertsimas, Yu Ma, Omid Nohadani.
  JCO Clinical Cancer Informatics, 2023
  
• Robust Regression under Averaged Uncertainty Set Paper
  Dimitris Bertsimas, Yu Ma.
  Under Revision.
  
• Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences Paper
  (alphabetical) Dimitris Bertsimas, Vassilis Digalakis Jr, Yu Ma, Phevos Paschalidis.
  Submitted.
  

Analytics-Driven Clinical Policy Making

• Using Interpretable Artificial Intelligence to Optimize the Use of Imatinib Following Resection of Localized GIST: an Observational Cohort Study Paper
  Dimitris Bertsimas, Georgios Antonios Margonis, Suleeporn Sujichantararat, Angelos Koulouras, Yu Ma, et al.
  Lancet Oncology, 2024.
  
• Using Artificial Intelligence to Find the Optimal Margin Width in Hepatectomy for Colorectal Cancer Liver Metastases Paper
  Dimitris Bertsimas, Georgios Antonios Margonis, Suleeporn Sujichantararat, Thomas Boerner, Yu Ma, et al.
  JAMA Surgery, 2022.
  
• Automated Segmentation of Sarcoma and Its Surrounding Muscles Using Deep Learning Ensemble Paper
  (alphabetical) Leonard Boussioux*, Yu Ma*, et al.
  International Journal of Radiation Oncology, Biology, Physics, 2023.
  
• Early Warning Index for Patient Deteriorations in Hospitals.
  Dimitris Bertsimas, Yu Ma, Kimberly Villalobos Carballo, et al.
  To be submitted.
  
• Can Artificial Intelligence Improve the Appropriate Use and Decrease the Misuse of REBOA? Paper
  (alphabetical) Mary Bokenkamp*, Yu Ma*, et al.
  Under Revision.
  
• Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence Based Model Paper
  Dimitris Bertsimas, Georgios Antonios Margonis, Yifei Huang, Nikolaos Andreatos, Holly Wiberg, Yu Ma, et al.
  JCO Clinical Cancer Informatics, 2021.
  
• An artificial intelligence interpretable tool to predict risk of deep vein thrombosis after endovenous thermal ablation Paper
  (alphabetical) Azadeh Tabari*, Yu Ma*, et al.
  Journal of Vascular Surgery: Venous and Lymphatic Disorders.
  
• Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma: Applications of Optimal Policy Trees as a Treatment Prescription Aid To Improve Patient Mortality
  (alphabetical) Vahe S. Panossian*, Yu Ma*, et al.
  Bioengineering.
  
• Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: An Optimal Policy Tree Approach
  Phevos Paschalidis, Vasiliki Stoumpou, Lisa Everest, Yu Ma, et al.
  Under Revision.
  
• Prediction of Domestic Violence Abused Patients: A Multimodal Machine Learning Approach.
  Dimitris Bertsimas, Kimberly Villalobos Carballo, Jiayi Gu, Yu Ma, Bharti Khurana.
  Under Revision.
  
• TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures Paper
  Kimberly Villalobos Carballo, Liangyuan Na, Yu Ma, et al.
  Submitted.
  
• LLM in E-commerce: Opportunities and Challenges.
  Yu Ma, Yuri M. Brovman, Jeff Kahn.
  Working Paper, in collaboration with eBay Recommendations.
  

Awards

• Takeda Fellow, 2024-2025 Media
  
• 1st Place & Presenter: Cognex Prize at MIT MIMO Symposium 2022 Media
  
• Recipient of Wellcome Trust Fellowship, 2021-2023

Teaching

• MIT 15.089 | Analytics Capstone Project, Spring & Summer 2024, 2025
  Faculty Advisor. Awarded Capstone of the Year 2024 Media
• MIT 15.003 | Analytics Tools, Fall 2022 & 2024, Spring 2025
  Instructor; Graduate (Master)
• MIT 15.076 | Analytics for a Better World, Spring 2021, Spring 2025
  TA, Instructor; Undergraduate
• MIT 15.095 | Machine Learning under a Modern Optimization Lens, Fall 2023 & 2024
  Guest Lecturer; Graduate (Master, PhD)
• MIT 15.727 | Analytics Edge, Spring 2022, 2023 & 2024
  TA/Head TA; Graduate (Executive MBA)