Kellan Moorse is a computational neuroscientist and PhD candidate in Caltech’s Computation and Neural Systems program with eight years of interdisciplinary experience spanning computer vision, bioimaging, nonlinear fiber optics, and numerical modeling. He develops high-performance scientific software—evidenced by a modular Python/Numba pipeline for fast parallel processing of 3D imaging data—and builds numerical and experimental models to prototype tomographic and phase-augmented imaging methods. Prior industry experience at Honeywell Aerospace as a lead design engineer honed his skills in production-scale numerical modeling, spectroscopic analysis, and statistical process improvements that boosted yields dramatically. Comfortable at the intersection of theory and practice, he combines rigorous physics training with hands-on experiment design and software engineering. Based in Pasadena, he also brings cross-cultural and language exposure from study abroad in Ecuador and Spanish-language coursework, which helps in collaborative, multidisciplinary teams.
8 years of coding experience
1 year of employment as a software developer
Apple Valley High School
B.S. Physics, Applied Physics, B.S. Physics, Applied Physics at Bethel University
University of Minnesota Twin Cities
Spanish, Spanish at La Universidad San Francisco de Quito
California Institute of Technology
Certificate, Health Disparities, Certificate, Health Disparities at NIH Academy
Contributions:21 pushes, 1 branch in 2 years 8 months
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Kellan Moorse - PhD Student Computation And Neural Systems