About
I am a senior at Vanderbilt double majoring in Medicine, Health, & Society and Economics, with a minor in Neuroscience. My academic focus bridges the gap between biological systems, human behavior, and quantitative analysis, driving my interest in the intersection of brain alignment and machine learning. With a deep background in neuroscience, I actively explore how neural mechanisms can inform and align advanced artificial intelligence models. My hands-on experience includes participating in multiple BrainHacks, where I collaborate on fast-paced projects at the frontier of neurotechnology, computational modeling, and data-driven problem solving.
Research Interests
Current Research Projects
Object Morphs
This project uses smooth morphs between object concepts to probe where perception draws its boundaries in humans and AI. At its core is the THINGS Latent Morph Benchmark: using Stable Diffusion and baseline interpolation methods, we create continuous image transitions between 200 pairs of object concepts and gather over 90,000 human behavioral responses to map exactly where people place category boundaries and how perceptual uncertainty changes along each trajectory. We then benchmark eight major vision models, including CLIP and DINOv2, using Representational Similarity Analysis and psychometric curve fitting to pinpoint where artificial representations diverge from human categorical perception. Extending these morphs across the senses, we also investigate semantic binding windows—the range within latent semantic space over which visual and auditory stimuli are perceptually integrated—drawing parallels to the temporal binding window observed in multisensory integration.