Computational Biology & Bioinformatics

PHD in Computational Biology & Bioinformatics

Program Principles & Goals

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

  • Professor in Medicine

    <doc>One of my major research foci is in the genetic basis of psychiatric and neurological disorders. I am currently involved in studies to dissect the genetic etiology of attention deficit hyperactivity disorder (ADHD), autism, chiari type I malformations, essential tremor, and neural tube defects. Additional research foci include genetic modifiers of sickle cell disease, and genetic contributions to birth outcomes, particularly among African American women.</doc>

Kai Fan

4th year CBB Student Katherine Heller Lab
Oct 24
Alexander Hartemink, PhD, Duke University Department of Computer Science
CBB Seminar Series

Efficiently surveying the chromatin landscape

Oct 25
Florian Wagner, CBB PhD Student from the Dave Lab
The Edge (Bostock library, first floor)

Module 1: Becoming a Python power user

Oct 26
Peter Tonner, CBB PhD Student from the Schmid Lab
CBB Student Seminar

Bayesian Hierarchical Model of Microbial Population Growth