Kelvin Yelyen
I am currently a Faculty Assistant at Academic City University, with research interests at the intersection of artificial intelligence and neuroscience. My work and ongoing study explores the bidirectional relationship between biological and artificial systems: examining how neural mechanisms can inform more adaptive machine learning architectures, and how computational models can deepen our understanding of the brain.
Prior to this, I worked as a freelance software engineer, designing and building scalable full-stack web systems. I have a background in Computer Science from University for Development Studies.
Some representative lines of work include:
Examining whether default mode network activity can distinguish social from non-social video stimuli more accurately than early visual areas (V1–V2), using linear decoding of BOLD signals.