Faculty whose research focuses on Computational Biomedicine at NYU Grossman School of Medicine’s Vilcek Institute of Graduate Biomedical Sciences provide training in medical informatics and bioinformatics. We train doctoral candidates in the design and implementation of rigorous and high-impact methods for capturing, storing, and retrieving clinical- and population-level data for translational and clinical medicine.

We focus on the following areas:

• big data analytics
• bioinformatics
• clinical informatics
• human genomics and multiomics
• machine learning and artificial intelligence
• medical imaging analysis
• modeling electronic health records (EHR)
• natural language processing
• synthetic biology
• systems genetics

PhD candidates work with our renowned faculty and have access to many resources, including the following:

• a high-performance computing facility
• high-throughput assay informatics services, which include next-generation sequencing and proteomics

To look up faculty with research interests in these areas, please visit our faculty tool.

Curriculum

Electives in this discipline include the following:

Applied Sequencing Informatics
Bioinformatics
Deep Learning in Biomedicine
Introduction to Health Informatics
Machine Learning Methods in Quantitative Biology
Advanced Integrative Omics
Clinical Decision Support Consulting in Biomedical Informatics
Evaluation Methods for Predictive Risk Models
Proteomic Informatics

Contact Us

To learn more about research into computational biomedicine at NYU Grossman School of Medicine, contact our Pre-Candidacy Faculty Advisors , Molly C. Gale Hammell, PhD

For general information about graduate programs at Vilcek Institute of Graduate Biomedical Sciences, email Vilcek-Info@NYULangone.org or call 212-263-5648.