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.

Group photo of CBB students and faculty



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Meet A Faculty Member

  • David Beratan
    R.J. Reynolds Professor of Chemistry
    Dr. Beratan is developing theoretical approaches to understand the function of complex molecular and macromolecular systems, including: the molecular underpinnings of energy harvesting and charge transport in biology; the mechanism of solar energy capture and conversion in man-made structures; the nature of charge conductivity in naturally occurring nucleic acids and in synthetic constructs, including the photochemical repair of damaged DNA in extremophiles; CH bond activation by copper oxygenase enzymes; the flow of charge in bacterial appendages on the micrometer length scale; the theoretical foundations for inverse molecular design - the property driven discovery of chemical structures with optimal properties; the exploitation of molecular diversity in the mapping of molecular and materials "space"; the use of infra-red excitation to manipulate electron transport through molecules; the optical signatures of molecular chirality and the influence of chirality on charge transport. Prof. Beratan is affiliated with the Departments of Chemistry, Biochemistry, Physics, as well as Duke's programs in Computational Biology and Bioinformatics, Structural Biology and Biophysics, Nanosciences, and Phononics.  
Razvan Panea

Razvan Panea

3rd year CBB Student Sandeep Dave Lab
Jan 23
Tomas Gedeon, PhD, Montana State University, Department of Mathematical Sciences
CBB Seminar Series

Dynamics of gene regulatory networks with unknown parameters

Jan 30
Amy Schmid, PhD, Duke University, Department of Biology
CBB Seminar Series

"Calm under stress: how regulatory networks control cellular decision-making in archaeal extremophiles."

Feb 13
Geoffrey Ginsburg, MD, PhD, Duke University, Applied Genomics and Precision Medicine
CBB Seminar Series

Novel genomic paradigms for early detection and diagnosis of acute infectious disease