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.