Research Statement Samory Kpotufe General Research Motivation

I work in Machine Learning, a field at the intersection of Statistics and Computer Science. The field is concerned with the design of learning algorithms which automatically adapt to new scenarios by learning from past observations. Application domains abound in engineering and scientific fields; some examples are speech recognition, computer vision, genomics, medical diagnosis, web mining, and network analysis. In these domains, past observations usually consist of large amounts of increasingly complex data. This data complexity raises new and interesting challenges for Machine Learning.