My primary interests are finding ways to synthesize varied data sources, build useful models, and utilize creative methods to understand large and complicated systems.

Site Reliability Engineer @ From August 2015 to Present (3 months) New YorkSenior Performance Engineer. (2) @ Responsible for the performance and reliability of Akamai’s global network of DNS servers. This involves tackling a wide class of problems ranging all the way from fending off network spanning denial of service attacks down to diagnosing hardware faults on individual machines. Incident and call rotation experience. From September 2014 to August 2015 (1 year) Graduate Student @ As a physics graduate student with a focus on comptuational and theoretical physics I have focused on problems in ultra-relativistic nuclear physics. Large nucleii are collided at high energies giving rise to a hot, dense and strongly interacting system, the Quark Gluon Plasma (QGP), the hottest and densest form of matter in the universe. I have focused on using Monte-Carlo Boltzmann transport to model and understand jet quenching in the QGP. Jets, collimated streams of high momentum partons, are created by hard scatterings in particle experiment, these serve as calibrated probes of the QGP matter. Alongside this I have applied modern statistical approaches to the calibration of the complex computer models which necessarily arise in cutting edge research. By developing a Gaussian Process (GP) surrogate, a statistical model of the computational model, one can rapidly obtain predictions of the model output at new locations in the input parameter space. These model emulators provide a means to rapidly investigate model performance across the input parameter space, revealing previously unknown interactions between parameters. From September 2008 to August 2014 (6 years) Graduate Research Fellow - Big Data @ Participated in a year long Big-Data program, researched the application of Bayesian methods for model calibration to models with very large data sets. From August 2012 to May 2013 (10 months) Research Associate @ I worked in the experimental systems group at the Advanced Light Source. I developed n-body simulations of electron beam transport as part of a larger research effort into future light source beam production techniques. From September 2006 to June 2008 (1 year 10 months)

Doctor of Philosophy (PhD), Theoretical and Mathematical Physics @ Duke University From 2008 to 2014 Exchange Student (EAP), Theoretical and Mathematical Physics @ University of California, Berkeley From 2004 to 2005 Masters of Phsyics (MPhys), Theoretical and Mathematical Physics @ The University of Manchester From 2002 to 2006 Christopher Coleman-Smith is skilled in: Physics, Numerical Simulation, Machine Learning, Big Data, Data Modeling, Applied Mathematics, R, Mathematica, Linux, Simulations, Numerical Linear Algebra, Mathematical Programming, Fortran, C, Scientific Computing, LaTeX, Theoretical Physics, Data Visualization, SQL, Nonlinear Optimization, C++, Hadoop, Node.js, Python, Mathematical Modeling, Algorithms, Statistics, Numerical Analysis