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.
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Our lab is broadly interested in devising methods to better connect cancer patients with effective therapeutic strategies. Meeting this goal is challenging, as patient tumors are heterogeneous, genetically complex, and evolvable. Further, there are many potential drugs that can be assembled in many combinations. To address this challenge, we are developing advanced functional genomic technologies that allow us to systematically map the genetic determinants of drug sensitivity and then directly connect these to effective therapeutic strategies. Additionally, we are developing analytical approaches to
design selective combination therapeutics as well as methods for the direct screening of therapeutic targets in patient-derived tumors. Beyond purely translational applications, our studies should advance our basic understanding of the architectures of biological signaling networks, and the genomic tools we develop may be useful for systematically studying a wide range of additional biological processes.