Taegang Kim

Taegang Kim is an undergraduate student studying Computer Science with a strong interest in artificial intelligence and machine learning systems. Her research interests lie at the intersection of generative models, human motion understanding, and intelligent applications that improve communication and human computer interaction. She is particularly interested in how machine learning models can represent and generate complex human behaviors, such as gesture and motion, and how these models can be applied to real-world problems.

In addition to her research experience, Taegang has worked on several technical projects involving AI-powered applications and mobile development. She has experience building machine learning driven systems, integrating AI models into applications, and rapidly prototyping ideas through hackathons and collaborative projects. Through her work, she aims to deepen her understanding of learning based systems while contributing to research that bridges advanced AI models with practical, user-facing technologies.

 

Education

• B.S. Computer Science, University of Texas at Austin