Urjit Aich

Urjit is a second-year undergraduate pursuing a dual major in Computer Science and Mathematics at Purdue University, with a strong interest in the theoretical foundations and broader implications of artificial intelligence. At GRAIL, he contributes to the AI SHARE project through qualitative coding and data collection across diverse abstracts. His research spans both theory and practice, covering areas such as machine learning, deep learning, and computer vision, with a particular focus on the mathematical and computational principles that drive these methods as well as their software engineering applications.