Steven Martin's Email

My focus is on solving problems at the intersection of parallel computing, large data analysis, and low-latency systems. I seek to streamline quantitative and visual analysis workflows by developing novel algorithms and systems that leverage emerging trends in computer architecture. Supporting research interests for this are parallel systems, numerical methods, approximation algorithms, uncertainty quantification, real-time systems, visualization, computer graphics, software engineering, and programming languages.

Software Engineer @ From December 2012 to Present (2 years 11 months) New York, NYGraduate Research Associate @ Researching techniques for visual and quantitative analysis of large-scale data Current projects: Data transformations for low-latency statistical queries on terascale data C++, CUDA, Python, Scheme, OpenMP, and MPI were utilized. Advisor: Professor Han-Wei Shen From June 2007 to April 2013 (5 years 11 months) Columbus, OHSoftware Intern @ Developed streaming techniques for sparse image reconstruction on parallel heterogeneous architectures using CUDA, C++, and Matlab. From June 2012 to September 2012 (4 months) Princeton, NJSoftware Intern @ Developed a project applying parallel GPU and CPU resources in novel ways to improve workflows. An error-constrained stereo video compression codec for remote visualization was developed using C++, CUDA, Python, OpenMP, POSIX threads, and OpenGL. From June 2011 to September 2011 (4 months) Santa Clara, CASoftware Intern @ Developed projects applying parallel GPU and CPU resources in novel ways to improve workflows: - Stochastic algorithms enabling interactive exploration of out-of-core seismic data - Cluster-enabled multi-GPU real-time ray tracing system Projects were implemented using C++, CUDA, OpenMP, POSIX Threads, and OpenGL From June 2010 to December 2010 (7 months) Santa Clara, CAGraduate Intern @ Collaborated with scientists to develop tools for interactive quantitatively-driven visualization of large-scale volumetric data using data-parallel techniques on Linux HPC resources: - Hierarchically parallel volume renderer to provide visual confirmation of quantitative analyses - Load-balanced interactive parallel isosurface generation tool using multiple GPUs and CPUs in a cluster Projects were implemented using C++, CUDA, OpenCL, Intel TBB, MPI, and OpenGL From June 2008 to September 2009 (1 year 4 months) Los Alamos, NMUndergraduate Research Assistant @ Researched hydrologically-guided digital terrain map compression techniques for the DARPA GeoStar project using Matlab and C++ From April 2006 to September 2006 (6 months) Troy,NYSoftware Engineer @ Developed a 3D graphics SDK and a video compression codec using C++, assembly, and OpenGL From June 2002 to June 2005 (3 years 1 month) Redmond, WAJava Developer @ Developed online store applications using Java Servlets and JSPs From September 1999 to April 2000 (8 months) Raleigh, NC

PhD, Computer Science @ The Ohio State University From 2007 to 2013 MSc, Computer Science @ The Ohio State University From 2007 to 2012 BSc, Electrical Engineering @ Rensselaer Polytechnic InstituteBSc, Computer and Systems Engineering @ Rensselaer Polytechnic Institute Steven Martin is skilled in: Algorithms, C++, Python, Java, Software Engineering, Linux, OpenGL, High Performance..., Parallel Computing, Matlab