Assistant Professor, School of Information

Peter Jansen

Peter Jansen is a broadly interdisciplinary artificial intelligence researcher specializing in natural language processing and methods inspired by cognition and the brain. He apply these to application areas in science and health care. A central focus of his science research is on how we can teach computers question answering in the form of passing standardized science exams, as written. In particular, he focus on methods of automated inference that generate explanations for why the answer is correct, largely using graph-based methods. In terms of health care, he studies how we can use natural language processing and inference to improve electronic health records and improve nurse communication, as well as detect potentially dangerous clinical events before they happen. His areas of interest include Machine Learning and Natural Language Processing.