I’m a computer-vision engineer in the Machine Intelligence for Space Superiority (MISS) Lab at the U.S. Space Systems Command, where I develop physics-informed ML pipelines for space-domain awareness. My recent work spans learned PSF photometry, multispectral material segmentation, and NeRF-based radiometry, with results presented at AMOS, SPIE (ATI; Optics & Optoelectronics), and the International Astronautical Congress. I’ve built scalable, weather-robust photometry frameworks, explored adaptive Gaussian PSFs for high-precision satellite and stellar photometry, developed real-time multispectral segmentation methods, and investigated radiometry modeling with NeRFs and GAN-based super-resolution.

I’m also a poet. My work has appeared in trampset, Landlocked, Bombay Gin, ONE ART, Amsterdam Quarterly, Burningword, Sky Island Journal, Stone of Madness Press, New Feathers Anthology, Muse Pie Press, Scapegoat Review, Angel City Review, and Food & Feeling Zine and “brown recluse” was nominated for a Pushcart Prize.

I earned a B.S. in Computer Science (AI) with a minor in Creative Writing (poetry, mentored by Richie Hofmann and Aria Aber) and an M.S. in Management Science & Engineering (Operations & Analytics) from Stanford University.

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