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Headings-> Principal Mathematician Education Employment History General Research Interests Published Mathematical Research Published Application Areas Algorithmic Differentiation Software Engineering Matrix Languages Software Languages and Tools Teaching

Bradley M. Bell's Resume
Principal Mathematician
Address: Applied Physics Laboratory, University of Washington, 1013 Ne. 40th Street, Seattle, WA, 98105-6698.
Phone: 206-543-6855, E-mail: bradbell at washington dot edu, Web:  www.seanet.com/~bradbell

Education
B.A.: in mathematics and physics from Saint Lawrence University in 1973.
M.A.: in mathematics form University of Washington in 1976.
Ph.D.: in mathematics from University of Washington in 1984.

Employment History
1973-76:  Teaching Assistant for University of Washington.
1976-78:  Computer Programmer for Flow Research.
1978-82:  Computer Programmer for Applied Physics Laboratory.
1982-84:  Student Fellow of Applied Physics Laboratory.
1984-  :  Mathematician for Applied Physics Laboratory.

General Research Interests
Stochastic functions, optimization, algorithmic differentiation, nonlinear mixed effects modeling, stochastic differential equation modeling, data analysis.

Published Mathematical Research
Nonlinear Kalman smoothing, stochastic functions, optimizing marginal likelihoods, Gauss-Newton methods, spectral windowing and estimation, semi-infinite optimization.

Published Application Areas
Pharmacokinetics and pharmacodynamics, neuron modeling, insulin modeling, global positioning, acoustic arrival time estimation, error correcting codes and acoustic telemetry.

Algorithmic Differentiation
Designed, implemented, automated tests, and maintain CppAD , a package using operator overloading for differentiation of C++ algorithms.

Software Engineering
Designed, implemented, and maintain OMhelp , a web based tool for embedded documentation of software in any language (or multiple languages). This includes a Latex to MathML converter. In addition, distribute various open source packages from my web page.

Matrix Languages
Designed and implemented the compiler and numerical methods for the commercially available matrix language O-Matrix . This include a Matlab compatible mode.

Software Languages and Tools
Extensive use of the following: C++, C, Fortran, Matlab, R, Mathematica, Yacc, Lex, autoconf/automake, subversion, cvs.

Teaching
Taught linear programming for the UW Math Department (during summer of 2006, 05, 03, and 02).

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Input File: resume.omh