Dr. Krishna Swamy

Biography

Krishna Swamy is a leading researcher specializing in the development of foundational mathematical methods in machine learning and deep learning. His work integrates signal processing, data geometry, and topology to enable exploratory analysis, scientific inference, and prediction on large biomedical datasets. He focuses on geometric deep learning, employing methodologies that enhance the understanding of topology in high-dimensional data. His research encompasses learning complex representations that facilitate downstream analysis and address challenges in drug discovery and neuroscience. Furthermore, he specializes in multiscale graph signal processing, utilizing graph theory to analyze complex signals, and is engaged in various biomedical applications including stem cell development and behavioral neuroscience. He is affiliated with Yale's Computer Science and Applied Mathematics departments, contributing to interdisciplinary research initiatives aimed at leveraging computational tools across various fields.

Research Interests