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 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:
Investigating how distributed default mode network activity can predict social video processing compared to primary visual cortices, using linear decoding methods to understand how the brain separates social cognition from basic visual processing.
You can explore my work, read my writing, or browse my code on GitHub. I also write creatively on Substack. I'm also on X and LinkedIn.