David Tanner
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Education
- BS in Physics, Brigham Young University, 2007
- Physical Mechanics
- Statistical Mechanics
- Quantum Mechanics
- General Relativity
- Computer Science
- Partial Differential Equations
- Linear Algebra
- PhD in Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, (en route)
- Biophysics
- Non-equilibrium Statistical Mechanics
- Biomolecular Physics
- Scientific Computing
- Parallel Computing
- Programming Massively Parallel Microprocessors in CUDA
- Artificial Intelligence
- Neural Network Modeling
Research
- Protein translocation through channels; in particular how flagellin monomers travel through the inner channel of flagellum.
- High Performance Computing. I have developed a novel Generalized Born Implicit Solvent implementation in NAMD which scales to thousands of processors.
- I also contribute to developing group resources as a part of the Web Development Team and the System Adminstration Team.
Publications
(3) Parallel generalized Born implicit solvent calculations with NAMD. David E. Tanner, Kwok-Yan Chan, James C. Phillips and Klaus Schulten. Journal of Chemical Theory and Computation, In press (2011).
(2) Theoretical and computational investigation of flagellin translocation and bacterial flagellum growth. David E. Tanner, Wen Ma, Zhongzhou Chen and Klaus Schulten. Biophysical Journal, 100:2548-2556 (2011).
(1) ISODISPLACE: a web-based tool for exploring structural distortions. Branton J. Campbell, Harold T. Stokes, David E. Tanner and Dorian M. Hatch. Journal of Applied Crystallography, 39:607-614 (2006).
Honors
- Molecular Biophysics Training Grant recipient (2007-2008)
- Cell and Molecular Biology - Molecular Biophysics Training Grant Symposium Committee (2008)
- Molecular Biophysics Training Grant recipient (2008-2009)
- Computational Science and Enginnering Fellowship recipient (2009-2010)
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