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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My group works on stochastic models and algorithms for complex, high-dimensional, dynamical systems arising from the physical or biological sciences. My theoretical interests lie at the intersection of applied probability, Bayesian statistics, statistical mechanics, and theoretical computer science.
Applications: I have particular interests in structural biology, biophysics, and physical chemistry. We currently work on problems related to protein folding, vaccine design, and molecular engineering. Recently I have also expanded into problems in systems biology, and stochastic epidemic models.
Theory: Stochastic processes, dynamical systems theory, mixing times of Markov chains, randomized algorithms, computational complexity.
Some ongoing projects and themes are described below, followed by a list of Collaborations.