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, 7:3635-3642 (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)
