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

  • Associate Professor in Molecular Genetics and Microbiology

    The use the high-throughput parallel assays has brought tremendous progress to our understanding of different biological systems. But the impact of genomic tools has yet to be realized. My research interests are to use DNA microarrays and other genomic tools to understand the molecular architecture of our cells in the body and how they undergo physiological and pathological adaptation in human diseases.

    My research interests are to explore the use of DNA microarrays and other genomic tools to enhance our understanding of human diseases and disease-related biological questions.

    Jen-Tsan Ashley Chi, MD, PhD is Associate Professor in the Department of Molecular Genetics and Microbiology and works with the Center for Genomic Medicine. He received his MD from National Taiwan University and PhD from Stanford University. After his PhD, he was a post-doctoral fellow in Dr. Patrick Brown lab in Stanford University focusing on using cDNA microarrays to elucidate the cellular differentiation as well as human pathogenesis.

    Research Interests
    • Cancer Genomics
    • Sickle Cell Disease
    • MicroRNA
    • Latent Factor Analysis
    • Physiological Adaptation in Disease

Firas Midani

4th year CBB Student Lawrence David 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