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 of Mathematics

    Professor Harer's primary research is in the use of geometric, combinatorial and computational techniques to study a variety of problems in data analysis, shape recognition, image segmentation, tracking, brain imaging, biological networks and gene expression.

    Professor Harer's primary research is in the use of geometric, combinatorial and computational techniques to study a variety of problems in data analysis, shape recognition, image segmentation, tracking, brain imaging, biological networks and gene expression.

    Research Interests
    • Computational Biology
    • Computational Topology
    • Dynamics on Networks
    • Algorithms

Ian McDowell

4th year CBB Student Tim Reddy Lab
Oct 5
Merve Cakir, CBB PhD Student from the Wood Lab
CBB Student Seminar

High-throughput Interpretation of Gene Structure Changes in Personal Genomes

Oct 12
Brad Moore, CBB PhD Student from the Baugh Lab
CBB Student Seminar

What does every gene do?: Whole animal transposon sequencing