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Computational Structural Biology aims at establishing biomolecular sequence-structure-function relations using fundamental principles of physical sciences in theoretical models and simulations of structure and dynamics.

Computational Genomics involves the analysis of massive quantities of genomic and proteomic data by systematic development and application of probability and statistics theories, information technologies, and data mining techniques.

Cellular and Systems Modeling is the study of the dynamics of biological and biomedical processes from a whole-system point of view, using engineering tools, genome-scale information, and mathematical and/or computational models.

Bioimage Informatics draws upon advances in signal processing, optics, probe chemistry, molecular biology and machine learning to provide answers to biological questions from the growing numbers of biological images acquired in digital form.

The Joint CMU-Pitt 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.  CPCB trainees are taught and mentored by leading experts at two of the foremost computer science and biomedical research institutions in the world.  The program provides students with interdisciplinary training in various fields of computational biology: Cellular and Systems Modeling, Computational Structural Biology, Bioimage Informatics, and Computational Genomics.  CPCB students also benefit from numerous professional development opportunities available at both host institutions.  Together, the CPCB program positions our students to be leaders in this exciting field of biology and has prepared our graduates to go on to successful careers in both academia, industry, and beyond!