Seou Choi

Seou Choi is a graduate student in electrical engineering and computer science whose work explores optical computing platforms that leverage quantum noise for machine learning. His photonic system uses optical parametric oscillators as probabilistic neurons to perform inference and image generation tasks. Seou designs custom neural network architectures optimized for optical hardware and validates performance through digital twin simulations before experimental deployment. He investigates nanophotonic scintillators for advanced X-ray imaging by simulating light propagation through engineered nanostructures, potentially enabling sharper medical images at lower radiation doses. A parallel effort pioneers robotic systems for autonomous assembly and alignment of precision optical equipment, integrating robotics tools with physics-based simulations for fully automated optical laboratory systems. As a MathWorks Fellow, Seou will strengthen these computational frameworks at the intersection of photonics and AI. Together, these efforts explore how photonic hardware can support new approaches to machine learning.