Program Overview

Program Overview

The Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology (CPCB) provides interdisciplinary training in using quantitative and computational approaches to tackle scientific questions that lie at the interface of the life, physical, engineering, and computer sciences.

Program Details

• The program provides students with interdisciplinary training in various fields of computational biology:
  • Cellular and Systems Modeling
  • Computational Structural Biology
  • Bioimage Informatics
  • Computational Genomics
• CPCB students also benefit from numerous professional development opportunities available at both host institutions.
• The program positions students to be leaders in this exciting field of biology and has prepared graduates to go on to successful careers in both academia, industry, and beyond.

Program Structure

• The program currently has 91 students, who are taught and mentored by leading experts at two of the foremost computer science and biomedical research institutions in the world.
• Students receive interdisciplinary training from 57 core faculty and 57 affiliated faculty, representing over 30 departments and centers in the universities.

Curriculum

• Curriculum Overview
• Core Courses
• Electives

People

• Core Training Faculty
• Affiliate Faculty
• Administration
• CPCB Students
• Alumni

News and Events

• News archives from 2014 to 2025
• Seminar Series
  • Past Seminars

Resources

• Prospective Students
  • Recommended Undergraduate Courses
  • M.D. Ph.D/Medical Scientist Training Program
  • Admissions FAQ
  • About Pittsburgh
• Current Student Resources
  • Forms
  • Meta School
  • Responsible Conduct of Research
  • Student Awards
  • Student Publications
  • University Resources
  • Policies & Procedures
  • Committees
  • Using the Cluster - Carnegie Mellon
  • Using the Cluster - University of Pittsburgh
  • CPCB GSA Website