Computational Biology & Bioinformatics

PHD in Computational Biology & Bioinformatics

Program Principles & Goals

The PhD Program in Computational Biology & Bioinformatics (CBB) is an integrative, multi-disciplinary training program that encompasses the study of 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. The vibrant and innovative Duke research in these fields provides exciting interactions between biological and computational scientists. Because the Program in Computational Biology and Bioinformatics is based in the Duke Center for Genomic and Computational Biology, it offers a unique opportunity for students to become one of tomorrow's leaders in the genome sciences.

View Program Details

  • 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

Florian Wagner

4th year CBB Student Sandeep Dave Lab
Feb 15
Geoffrey Ginsburg, M.D., Ph.D.
Director Applied Genomics & Precision Medicine Department of Medicine

Novel Genomic Paradigms for Early Detection of Acute and Chronic Disease

Feb 16
Jay Dunlap
Geisel School of Medicine at Dartmouth

Genetic and Molecular Dissection of a Simple Circadian System

Feb 17
Dave D'Alessio, MD, Duke University
Duke Department of Pharmacology and Cancer Biology

Is GLP-1 a hormone: Whether and when?