柯智康

I'm a sophomore at Princeton University studying Computer Science, with minors in Statistics & Machine Learning and Applied & Computational Mathematics.

I study model hallucinations in Princeton's IPA Lab and dynamic camera intrinsics and 3D generation in the Princeton Vision & Learning Lab. In the IPA Lab, I investigate how training structure and evaluation affect reasoning reliability and failure modes in language models. In the Vision and Learning Lab, I am working on synthetic data-generation pipelines for dataset construction.

This work has drawn me toward the intersection of spatial intelligence, systems, and design, how models form grounded representations of the world, how the abstractions beneath our software make those capabilities reliable, and how thoughtful interfaces turn those capabilities into expressive tools. I'm interested in building strong technical foundations and shaping them into interactive systems that expand how people think, create, and share ideas through intelligent software.

outside of classes I am powerlifting, taking photos, cooking, or listening to a lot of music.