Training in computational biomedicine at NYU Grossman School of Medicine includes coursework, seminars, practica, and research.

Core Courses

Of the courses offered to all PhD candidates at the Vilcek Institute of Graduate Biomedical Sciences, students studying computational often take the following. For more information, view our PhD course catalog.

Computational Biomedicine Seminar
Introduction to Research
Topics in Molecular Biology
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

Seminars

The Works in Progress Series, which current students can learn more information about by logging into our student community with their Kerberos ID, hosts student presentations on computational biomedicine. Students present ongoing research, receive feedback from peers and faculty, and learn about other research projects.

Current students can download forms for the qualifying exam, committee meeting reports, and important information on thesis defenses and graduation by logging into our student community with their Kerberos ID.

Other Events

Beyond coursework and research, students participate in activities that include an annual retreat.

Annual Retreat

Each year, the Computational Biomedicine faculty hosts a faculty and student retreat. During half-day work sessions, students present their work and plan future endeavors. Following each work session, students can socialize with peers and faculty and receive feedback on their presentations.