Anthony G. Clark received a B.S. in Computer Science from SUNY Potsdam in 2013, specializing in software engineering, high performance computing, and practical software techniques. He has worked as an Associate Scientist at Raytheon BBN since 2013, where he has done Linux/FPGA image processing and developed real-time interfaces. Currently, he is developing parallel data compression algorithms utilizing GPUs and MPI. He leads various open source projects including a Linux distribution for clusters and a C/C++ library for controlling Arduino microcontrollers.

1. Anthony G. Clark
clark.anthony.g@gmail.com • http://github.com/anthonygclark • 951.526.5237 • Cambridge, MA • US Citizen
Education:
State University of New York at Potsdam, Potsdam, NY
8/09 - 8/13 B.S Computer Science. Software engineering and High performance computing
specialization with high focus on practical software techniques, Linux programming,
and experimentation.
8/08 - 5/09 State University of New York at Jefferson, Watertown, NY
Two semesters of general education
Skills / Activities:
• Very proficient in C, C++03/11, Python, Java, Bash, and Posix. Heavy study in threading and concurrency.
Interested in functional and experimental languages, modularity, and correctness.
• Very proficient in toolchains, compilers, and cross-platform development.
• Eager to engage in hardware design via SoC, FPGA, or DSP. Mild experience with Xilinx toolchains.
• Constantly studying software; Networking paradigms, Linux kernel development, standardization, etc.
• References: Dr. Timothy Fossum (fossumtv@potsdam.edu), Dr. Chris Lanz (lanzcc@potsdam.edu)
Experience:
Raytheon BBN Cambridge, MA. 07/13 - Current
Associate Scientist - Advanced Networking
2013-14 Linux/FPGA image processing.
Intern Raytheon BBN Cambridge, MA. 05/12 - 09/12
Advanced Networking Department
Worked on a real-time interface for the WNaN radio-based mesh network via Google Earth and a
clever state machine. Paired with an SQL interface, the real-time monitor was also a statistical tool.
I was also responsible for other simple utilities including automated debian packaging support
for various WNaN utilities and supporting various legacy utilities.
State University at Potsdam Computer Science Department, Potsdam, NY. 12/10-present
High Performance Computing Lab director
• Constructed and managed department Debian Linux based compute cluster(s).
• Maintained campus' Nvidia CUDA based workstations, consultant for HPC projects.
Research Associate
• Working closely with Dr. Chris Lanz on machine learning algorithms and frameworks.
• Acting electrical engineer, using Ardunio based development for physical simulations.
Awards:
2011 Potsdam Computer Science Alan Turing Award recipient for Computer Science excellence.
2010 National Science Foundation CS LEAP Computer Science Scholarship recipient.
Research:
Parallel Computation on Cellular Automata - 2010
• Built framework for displaying and calculating Cellular Automata using CUDA and MPI.
• Presented at the National Center for Undergraduate Research 2010, Ithaca, NY.
Parallel Data Compression Algorithm Design - Current
• Developing versions `bzip` which will utilize Nvidia GPUs and MPI for parallel data compression.

2. Projects:
CLSTR - Current
• *nix application to customize, deploy, and manage both installable and live distributions
of Debian Linux tailored for heterogeneous clustered environments incorporating parallel
frameworks. Complete with custom Python/C message passing and RESTful web interfaces
and web IDE/compiler.
libarduino - Current
• C and C++11 library and toolset for controlling and monitoring I/O for arduino/atmel
based Microcontrollers. Ncurses, QT, and GTK interfaces and LUA scripting support.