I'm an astro/particle physicist with expertise in computational and numerical methods, data analysis, statistical testing, mathematical modeling, and scientific computing. Over the past 8 years, I have carried out original independent research, actively engaged in multiple scientific collaborations, and effectively communicated my results to colleagues and the public. In November, I'll be joining Second Spectrum as a Machine Learning Software Engineer.

Postdoctoral Researcher @ Currently the software coordinator for the PINGU project: a proposed next generation atmospheric neutrino detector, primarily with the goal of determining the neutrino mass hierarchy. Oversee a team of ~10-20 users and developers of this analysis code using git and github. 1. Lead development of PISA: the Python (and C++)-based statistical analysis software package to predict the sensitivity to the neutrino mass hierarchy, for different detector configurations and systematic parameters. 2. Developed a novel technique to perform neutrino oscillation computations on a grid with GPUs, using the PyCUDA package. Overall improvement in the speed of calculation by factor of ~25x with respect to a pure CPU-based computation. 3. Implemented the machine learning technique of kernel density estimation (KDE)-to parameterize the detector response functions. From September 2013 to Present (2 years 2 months) State College, PAGraduate Student Researcher @ 1. Developed a 3D particle-tracking Monte Carlo simulation code in C++ to study the effects of the Intergalactic Magnetic Field (IGMF) on gamma-ray data from current and future instruments. 2. I was actively involved in the analysis of data from VERITAS and Fermi-LAT 3. In the lab, tested optical surface coatings and figures for the optical systems of ground based gamma-ray observatories, using laser beam profiling, and sub-nm optical profiling. From September 2007 to July 2013 (5 years 11 months) Los Angeles, CA

Doctor of Philosophy (Ph.D.), Physics and Astronomy @ University of California, Los Angeles From 2006 to 2013 Bachelor’s Degree, Physics, Mathematics Minor @ California Polytechnic State University-San Luis Obispo From 2003 to 2006 Timothy Arlen is skilled in: C++, Monte Carlo Simulation, Python, Data Analysis, Statistical Data..., Numerical Analysis, Astrophysics, Gamma Ray Astrophysics, Neutrino Physics, Machine Learning, Mathematical Modeling, Octave/Matlab, CUDA GPU, Scientific Computing, Unix, Git, C language, arduino, Linux, Github, Physics, Research, LaTeX, Optics, ROOT, html5