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

  • Alex Hartemink
    Professor in the Department of Computer Science
    Computational biology, machine learning, Bayesian statistics, systems biology, transcriptional regulation, genomics and epigenomics, graphical models, Bayesian networks, computational neurobiology, classification, feature selection
    Research Interests
    • Transcriptional regulatory networks
    • Organization of chromatin
    • Protein-DNA binding
    • Cell cycle control
    • Bayesian statistical inference
    • Model-based interpretation of big data
Dinesh Manandhar

Dinesh Manandhar

6th year CBB Student Raluca Gordan Lab