Summary
Nathan Kelley-hoskins is an independent physicist and mid-level tech specialist with 11 years of experience applying signal processing, computer vision, and data science to large-scale astrophysics R&D. He earned a PhD in Physics from Humboldt University of Berlin after leading terabyte-scale simulations and analyzing ~470 million particle-shower videos to set new limits on high-mass dark matter, and he has operational experience running the VERITAS observatory. Nathan builds production-grade tooling in Python and C++ for HPC clusters, having created simulation pipelines, a ML reconstruction module, and software that converted observatory data to CTA-compatible formats. He also designed and deployed a robotic laser calibration system still running at HAWC, showing hands-on hardware-to-software breadth. Currently he pursues independent research processing billions of gamma-ray events to search for asteroid-associated signals and potential primordial black holes, optimizing for parallel and GPU-accelerated workflows.
11 years of coding experience
Master's degree, Physics, Master's degree, Physics at Michigan Technological University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Humboldt University of Berlin