Nico Zezza is an electrical engineer and computer vision researcher focused on neuromorphic systems and ultra-low-latency perception. He is currently pursuing an M.S. in Electrical Engineering at Stanford University, specializing in signal processing, controls, and optimization, and is advised by Professor Kwabena Boahen.

Nico works as a Computer Vision Research Engineer at Brains in Silicon, where he develops silicon-retina and neuromorphic vision pipelines for real-time image processing on specialized hardware. His work sits at the intersection of embedded systems, photonics, and machine learning, with applications in robotics, sensing, and edge AI.

Previously, Nico was a Software Engineering Intern at Virtualitics, applying machine learning to large-scale data visualization and analytics, and a Research Assistant at Stanford School of Medicine, where he supported ophthalmic stem cell and regenerative medicine research. He has also conducted research at Stanford’s Center for Computer Research in Music and Acoustics (CCRMA), building real-time audio systems and computational sound tools in the ChucK Developers Lab.

Nico is also an Xfund Fellow, where he supports early-stage technology founders through sourcing, diligence, and founder support. He earned his B.S. in Electrical Engineering from Stanford, with coursework across digital systems, embedded systems, photonics, machine learning, and autonomous implant systems.