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*.
  Submitted to Nature Communications (IF: 14.7).
  
  • 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 (IF: 15.2), 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 (IF: 3.3), 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.
  Working paper, in preparation for Journal of Machine Learning Research.
  

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 (IF: 42.2), 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 (IF: 15.7), 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 (IF: 6.1), 2023.
  
• Early Warning Index for Patient Deteriorations in Hospitals.
  Dimitris Bertsimas, Yu Ma*, Kimberly Villalobos Carballo, et al.
  Working Paper, concurrently under FDA approval.
  
• 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 (IF: 2.9).
  
• 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 (IF: 3.3), 2021.
  
• Prediction of Risk of Post-Endovenous Thermal Ablation Complications Paper
  (alphabetical) Azadeh Tabari*, Yu Ma*, et al.
  To be submitted to Journal of Vascular Surgery: Venous and Lymphatic Disorders (IF: 3.1).
  
• Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma.
  (alphabetical) Vahe S. Panossian*, Yu Ma*, et al.
  Submitted to Nature Medicine.
  
• 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.
  Working Paper, to be submitted to Healthcare Management Science.
  
• Prediction of Domestic Violence Abused Patients: A Multimodal Machine Learning Approach.
  Dimitris Bertsimas, Kimberly Villalobos Carballo, Jiayi Gu, Yu Ma, Bharti Khurana.
  Submitted to Lancet Digital Health.
  
• 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
• 1st Prize Operations Research Center’s Common Experience Deep Learning Challenge 2021
• Cum Laude, INFORMS Student Chapter Annual Awards 2021 Media

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

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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.
• Graduate Student Representative: MIT External Affairs Board - Washington DC Advocacy 2022.
• Problem Planning & Judge: Analytics for a Better World Hackathon 2022.

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Talks

• M3H: Multimodal Multitask Machine Learning for Healthcare
  • Cornell ORIE Young Scholar Workshop 2024
  • CMU YinzOR Selected Flash Talk 2024, Pittsburgh PA
• Integrated Multimodal Artificial Intelligence Framework for Healthcare Applications
  • MIT-MGB AI Cures 2022, Cambridge MA
  • MIT ORC Student Seminar 2022, Cambridge MA
  • INFORMS Annual Meeting Meeting 2022, Indianapolis IN
  • INFORMS Poster Competition 2022, Indianapolis IN
  • MIT Machine Intelligence for Manufacturing and Operations (MIMO) 2022, Cambridge MA
  • Keynote for Janssen Pharmaceuticals Conference 2022, Cambridge, MA
  • INFORMS Healthcare Conference 2023, Toronto, Canada
• Personalized Breast Cancer Screening
  • INFORMS Annual Meeting 2023, Phoenix, AZ
  • INFORMS Healthcare Conference 2023, Toronto, Canada
  • Manufacturing & Services Operation Management (MSOM) Conference 2024, Minneapolis MN
• TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures
  • INFORMS Annual Meeting 2022, The Future of Analytics and Operations Research Workshop, Indianapolis, IN
• Automated Segmentation of Sarcoma and Its Surrounding Muscles Using Deep Learning Ensemble
  • MIT-MGB AI Cures 2022, Cambridge MA