Steve HannekeAssistant Professor

My general research interest is in systems that can improve their performance with experience, a topic known as machine learning. My focus is on the statistical analysis of machine learning. The essential questions I am interested in answering are “what can be learned from empirical observation / experimentation,” and “how much observation / experimentation is necessary and sufficient to learn it?” This overall topic intersects with several academic disciplines, including statistical learning theory, artificial intelligence, statistical inference, algorithmic and statistical information theories, probability theory, philosophy of science, and epistemology.