lines 2-175 of file: resume.xrst {xrst_begin resume} {xrst_spell autoconf automake autoregressive ave bradbell bradley bugzilla carlo com cpp cppad deconvolution dismod doxygen fortran fourier gdb hans lawrence lex mathematica matlab ph pharmacokinetic py rosling seanet seattle sed sql th unix washington xml yacc } Resume ###### Bradley M. Bell *************** | Research Scientist/Engineer - Senior Principal | Applied Physics Laboratory, University of Washington | Institute of Health Metrics and Evaluation | Hans Rosling Center, 3980 15th Ave. NE, Seattle | 1-206-897-2800 | bradbell@seanet.com | http://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 ********** | 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. | 2002-08: Part time lecturer for Mathematics Department. | 2010- : Mathematical software for IHME. Summary ******* Brad Bell has the skills necessary for developing a scientific modeling software package that: 1) uses modern statistical methods, 2) uses state of the art numerical methods, 3) is fast, 4) is well documented, 5) is automatically tested with each change, 6) automatically installs on Windows, Unix, or Mac systems. Work Experience *************** Public health modeling, underwater acoustic tracking and simulation, acoustic super resolution, modeling surface waves, nonlinear random effects parameter estimation, non-parametric population analysis, nonlinear pharmacokinetic analysis, creating a matrix based language, teaching linear programming, mentoring graduate students. Research Experience ******************* Estimating human mortality rates, linear and non-linear Kalman filtering and smoothing, algorithmic differentiation, deconvolution and stochastic function estimation, pharmacokinetic analysis, global positioning, Fourier spectrum estimation, autoregressive modeling, semi-infinite programming, error correcting codes; see list of :ref:`publications-name` . Skills ****** Incremental iterative software development, optimization, numerical analysis, statistical analysis, Kalman filtering and smoothing, algorithmic differentiation, parametric and non-parametric scientific data analysis, Fourier spectral analysis, ordinary differential equation modeling and inversion, Monte-Carlo Methods, method of characteristics. Computer Languages and Systems ****************************** Autoconf and Automake, Bash, Basic, Bugzilla, C++, C, CMake, Doxygen, Fortran, Git, Gdb, Html, Latex, Lex, Matlab, Make, Mathematica, Octave, Pascal, Python, R, Sed, Sphinx, Sql, Subversion, Unix, Visual-Studio, Windows, Xml, Yacc. Example Software **************** Developed, distributed, and supported the following open source packages (this is a partial list to just demonstrate skills): #. The algorithmic differentiation packages `CppAD `_ and `cppad_py `_ . #. The statistical model and estimation of disease rates as functions of age and time `dismod_at `_ and `at_cascade `_ . #. Laplace approximation of mixed effects models `cppad_mixed `_ . #. The sphinx documentation extension package `xrst `_ . {xrst_end resume}