Program Overview

Introduction to Computational Biology and Bioinformatics

The PhD program in Computational Biology and Bioinformatics at NYU Grossman School of Medicine's Vilcek Institute of Graduate Biomedical Sciences provides training in medical informatics and bioinformatics. The program focuses on 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.

Research Areas

The program concentrates 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

Resources and Facilities

PhD candidates have access to various resources, including:

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

Curriculum

The curriculum includes electives such as:

• 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

PhD Program

The PhD program in Computational Biology and Bioinformatics is designed to train doctoral candidates in the principles and applications of computational biomedicine. The program is led by renowned faculty and provides a comprehensive education in the field.

Life as a Graduate Student

Graduate students in the program have access to a range of resources and support services, including academic advising, career counseling, and professional development opportunities.

PhD Program Academics

The program provides in-depth information about its academics, including course requirements, research opportunities, and degree requirements.