Computational Biology & Bioinformatics

PHD in Computational Biology & Bioinformatics

Program Principles & Goals

CBB students and faculty at the annual retreat

Computational Biology and Bioinformatics (CBB) at Duke University is an integrative, multi-disciplinary Ph.D. program that trains future leaders at the interdisciplinary intersection of quantitative and biomedical sciences.

CBB brings together 55 faculty from 18 departments—including computer science, statistics, mathematics, physics, engineering, biology, chemistry, and medical departments—to conduct cutting-edge research across a wide range of topics in computational biology and to prepare students to engage in innovative solutions to modern problems in the biomedical sciences.

CBB provides high-quality training in both quantitative and biomedical sciences through coursework; research rotations; journal clubs; weekly seminars; and hands-on mentoring from advisors, co-advisors, and dissertation committees. Students are trained to work independently and as part of collaborative teams. They learn to conduct research responsibly, with a commitment to data sharing and reproducible analysis, and they have professional development and teaching opportunities as part of their individual development plans.

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Meet A Faculty Member

  • Stefano Di Talia
    Associate Professor of Cell Biology

    Our laboratory develops live imaging and computational methods to probe the dynamics of the signaling pathways that control cell division during development and regeneration. We aim to uncover the dynamical principles that ensure that embryonic development and regeneration are regulated in a reliable manner. Our favorite model system is the Drosophila embryo. We have initiated collaborative projects on embryonic development of the mouse embryo and regeneration of zebrafish appendages.

Harshit Sayay

Harshit Sahay

4th year CBB Student; Raluca Gordan Lab
Sep 14
Manuel Rivas
Stanford University

CBB Seminar

Oct 5
Nuria Lopez-Bigas
IRB Barcelona

Computational Analysis of Cancer Genomes