Na Min An

Building omnimodal AI systems that are fair, interpretable, and accessible is what I work toward as an AI researcher. My belief that AI can meaningfully assist people, such as through simulated visual prostheses for individuals with visual impairments, took root during my first research experience as an intern at Im Lab guided by Maesoon Im.

Currently a graduate student at CVML Lab, I am advised by Hyunjung Shim (and James Thorne, 2023–2025), and visited CopeNLU to collaborate with Isabelle Augenstein. I was also a research intern at NAVER, advised by Dongyoon Han and recently became an intern at SONY, working with Qiyu Wu.

My research centers on understanding omni-modal representations, diagnosing and mitigating representational, social, and modality biases through enhanced interpretability. Feel free to reach out at naminan@kaist.ac.kr!

I ❤️ Mom!