Computational Biology & Bioinformatics

PHD in Computational Biology & Bioinformatics

Program Principles & Goals

CBB students and faculty at the annual retreat

The Ph.D. Program in Computational Biology & Bioinformatics (CBB) is an integrative, multi-disciplinary training program that encompasses biology using computational and quantitative methods. In and out of the classroom, students learn to apply the tools of statistics, mathematics, computer science and informatics to biological problems. Vibrant and innovative research in these fields provides exciting interactions between biological and computational scientists. Because CBB is based in the Duke Center for Genomic and Computational Biology (GCB), it offers a unique opportunity for students to become tomorrow's leaders in genome sciences.


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Meet A Faculty Member

  • Stefano Di Talia
    Assistant 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.

Yizhe Zhang

Yizhe Zhang

5th year CBB Student Larry Carin Lab
Mar 5
Neville Sanjana
New York Genome Center

CBB Seminar

Mar 19
Ziv Bar-Joseph
Carnegie Mellon University

CBB Seminar