I am a computer scientist with a passion for artificial intelligence and natural language processing. I'm currently pursuing a Ph.D. in computer science at Northwestern University where I research narrative generation, commonsense reasoning, and explainable AI methods.
 Money, James H., Marko Sterbentz, Nathan Morrical, Thomas Szewczyk, and Landon Woolley. "GPGPU Enabled Ray Directed Adaptive Volume Visualization for High Density Scans." In Proceedings of the Practice and Experience on Advanced Research Computing, p. 62. ACM, 2018. [paper]
Computer Science - In Progress
Computer Science - 2019
Computer Science - 2017
I developed a new software component with C++ and Python for performing material interface reconstruction in LLNL's open-source HPC framework Axom in order to improve software development efforts for large-scale simulations. This project is open source and the code is available on GitHub.
Developed improvements to a large-scale volume visualization system with C#, HLSL, and compute shaders. Utilized ray-marching in tandem with a specialized data format to enable interactive visualization of exascale data in immersive environments. Presented associated research paper at PEARC18 conference in July 2018.
Wrote software in C++ that interfaced with a LiDAR sensor and an inertial measurement unit (IMU) to extract the data, send it over a wireless network, and accurately recreate the scanned environment on the user’s laptop in real time. Work performed as part of a study to determine the state of plant life in Idaho utilizing unmanned aerial vehicle LiDAR data.
If you would like to contact me or collaborate on a project with me, please reach out to me at firstname.lastname@example.org or stop by my office in Mudd Hall 3209.