Welcome!
Hi, I’m Minoh Jeong, a postdoctoral researcher at the University of Michigan.
My work sits at the intersection of machine learning, statistical signal processing, and information theory. Currently, I explore principled ways to turn messy, multimodal data into useful representations. I’m motivated by questions of robustness, uncertainty, and evaluation, and I enjoy building bridges between theory and practice.
