Yu Ma

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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*.
  R&R in Operations Research.
  
• 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.
  Submitted.
  
• Can Artificial Intelligence Improve the Appropriate Use and Decrease the Misuse of REBOA? Paper
  (alphabetical) Mary Bokenkamp*, Yu Ma*, et al.
  Major Revision at PLOS ONE.
  
• 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.
  
• Prediction of Risk of Post-Endovenous Thermal Ablation Complications Paper
  (alphabetical) Azadeh Tabari*, Yu Ma*, et al.
  Submitted.
  
• Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma.
  (alphabetical) Vahe S. Panossian*, Yu Ma*, et al.
  Submitted.
  
• 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.
  Submitted.
  
• Prediction of Domestic Violence Abused Patients: A Multimodal Machine Learning Approach.
  Dimitris Bertsimas, Kimberly Villalobos Carballo, Jiayi Gu, Yu Ma, Bharti Khurana.
  Submitted.
  
• TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures Paper
  Kimberly Villalobos Carballo, Liangyuan Na, Yu Ma, et al.
  Working Paper.
  
• LLM in E-commerce: Opportunities and Challenges.
  Yu Ma*, Yuri M. Brovman, Jeff Kahn.
  Working Paper, in collaboration with eBay Recommendations.
  

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Awards

• Takeda Fellow, 2024-2025 Media
  This fellowship is awarded to 12-13 PhD students each year across the MIT School of Engineering in recognition of their outstanding academic record, exceptional background, and promising future.
• 1st Place & Presenter: Cognex Prize at MIT MIMO Symposium 2022 Media
  The award highlights unique and innovative applications of advanced data analytics, optimization, and AI to complex operational challenges, and was scored highest by the judging panel across all grading criteria.
• Recipient of Wellcome Trust Fellowship, 2021-2023

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Teaching

Everyone learns twice: first from being taught, and again from teaching others. Re-learning familiar knowledge through the eyes of vastly different students—each with unique background, academic interest, and even personality—adds depth to my own understanding. I often find this teaching experience very much like a research project itself, what motivates and fascinates each individual is drastically different, but finding a common ground, and further building on them, can almost always lead to pleasant surprises.

• 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)

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Service and Outreach

• Seminar Coordinator: MIT ORC Student Seminar Series 2022, MIT ORC IAP Seminar Series Spring 2023.
• Session Chair: INFORMS Annual Meeting 2024, INFORMS Healthcare Conference 2023.
• Vice President: MIT INFORMS Student Chapter 2021-2022.
• Graduate Student Representative: MIT Committee on the Use of Humans as Experimental Subjects 2021-2023.

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