Rittwika Kansabanik, a statistics researcher at FSU, develops scalable machine learning methods for high-dimensional data. Her work focuses on feature selection for latent factor models, enabling class-incremental feature selection and guaranteed feature recovery. This research provides more efficient and trustworthy AI systems for large-scale data.

Dr. Gubanov is an assistant professor and a lead PI on a multi-year NSF ($550K) grant and a Casey DeSantis Cancer Innovation Fund ($1.2M) consortium grant with Moffitt Cancer Center to develop new AI for better cancer practices. He earned his PhD from the University of Washington and completed a postdoc at MIT CSAIL. His honors include the Amazon AI AWS Research Award, the Communications of the ACM (CACM) Award, the ACM SIGMOD Research Highlights Award, and the IEEE ICDE Best Paper Award.