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Vincent J. Major

Assistant Professor

NYU Grossman School of Medicine

Biography

Vincent J. Major, PhD, is an Assistant Professor of Population Health at NYU Grossman School of Medicine who works closely with NYU Langone Health’s Predictive Analytics Unit. Vincent’s work focuses on applied machine learning for healthcare and involves the development, validation, and deployment of predictive models using electronic health record (EHR) data.

Vincent received his PhD from New York University in 2020 for his thesis work using EHR data to develop machine learning models to estimate risk of death within 60 days of hospitalization to encourage end-of-life planning. For his Master’s research, Vincent studied the respiratory dynamics of critical care patients supported by invasive mechanical ventilation using mathematical modeling and signal processing methods.

Interests

  • Medical Informatics
  • Applied Machine Learning
  • Artificial Intelligence (AI)
  • Operationalization of AI in Healthcare

Education

  • PhD in Medical Informatics, 2020

    New York University

  • ME in Bioengineering, 2015

    University of Canterbury, New Zealand

  • BE(Hons) in Mechanical Engineering, 2014

    University of Canterbury, New Zealand

Recent Posts

Reading SEER fixed width files

I help teach a class each summer which serves as an introducion to biomedical informatics and programming for, mostly resident, …

Experience

 
 
 
 
 

Assistant Professor

NYU Grossman School of Medicine

Oct 2020 – Present New York, NY
 
 
 
 
 

Data Science Intern

Pfizer

Jun 2016 – Aug 2016 New York, NY
 
 
 
 
 

Research Assistant / PhD Student

NYU Grossman School of Medicine

Aug 2015 – Aug 2020 New York, NY

Recent Talks

Teaching and Editorial Experience

Course co-Director

After TAing for three years, served as Course co-Director for the Introduction to Medical Bioinformatics and Computing course as part of the INTREPID program alongside Dr. Yin Aphinyanaphongs.

Assistant Editor

Responsible for producing high-quality, camera-ready versions for the MedInfo2019 Congress Proceedings: 1. Reformatting papers to conform to the publication template, and 2. Reviewing and editing accepted papers for English grammar and flow.

Scientific Programming Committee (Data Science track)

Responsible for assigning and collecting reviews for submitted works as well as conducting meta-reviews and making final decisisions.

Teaching Assistant

For the Introduction to Medical Bioinformatics and Computing course as part of the INTREPID program for three years supporting Dr. Yin Aphinyanaphongs.