NSF Gives CAREER to Rademacher
Luis Rademacher was recently awarded the Faculty Early Career Development (CAREER) award of the National Science Foundation. This award supports junior faculty who exemplify the role of teacher-scholars by combining outstanding research, excellent education, and integrated education and research. Rademacher is currently focusing on the analysis and exploration of data, including classification, inference, and retrieval. Generally this involves the extraction of features that are relevant to a particular goal. In the design of algorithms for the analysis and exploration of data, feature extraction techniques act as basic building blocks or primitives that can be combined to model complex behavior using a variety of tools. Data rarely satisfies the precise assumptions of these models and feature extraction tools and, combining these tools amplifies errors. Rademacher is tackling the challenging task of designing new algorithms that are robust against noise and that can be combined as building blocks while keeping the error propagation under control.