Kevin Figueroa is a PhD dissertation researcher in optical sciences and a multidisciplinary engineer with nine years of experience spanning computational imaging, photonics, computer vision, and embedded hardware. He combines deep learning and physics-based modeling—developing camera arrays, real-time light field rendering, and photorealistic computer-generated holography—with hands-on fabrication skills like building 3D printers, CNC routers, and a home photolithography/chemistry lab. His internships at Meta and Apple and collaborations with Honda and USC reflect applied research that moved from synthetic polarimetric camera clones and large-scale U-Net training on HPC clusters to medical imaging tools for low-cost oral cancer screening. A National GEM PhD Fellow and multiple-scholarship recipient, Kevin also maintains open-source projects (notably as main maintainer of CereusLinuxProject) and publishes on computational polarimetric imaging. He’s driven by blending experimental hardware, computational geometry, and neural architectures to produce practical imaging systems and plans to deepen his research portfolio through his upcoming PhD defense.
9 years of coding experience
1 year of employment as a software developer
The University of Arizona
Master of Computer Science Data Science & Artificial Intelligence, Master of Computer Science Data Science & Artificial Intelligence at University of Southern California
Computer Science & Computer Engineering, Computer Science & Computer Engineering at Santa Clara University
Contributions:2 releases, 32 commits, 32 pushes in 3 months
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