I’m currently a Reader1 at the University College London and an Allen Distinguished Investigator, leading the Machine Reading Lab. Before that I was a postdoc and research scientist with Andrew McCallum at UMass Amherst, a researcher at Tokyo University and DBCLS with Tsujii Junichi, and a PhD student with Ewan Klein at the University of Edinburgh.
I am interested in teaching machines how to read and work in the intersection of Natural Language Processing (NLP) and Machine Learning. I have an interest in various stages of the NLP pipeline, in particular those that require structured prediction, as well as fully probabilistic archictures of end-to-end reading and reasoning systems. Recently I became interested in news ways to represent textual knowledge using low-rank embeddings and how to reason with such representations.
I am also very interested in Probabilistic Programming and Statistical Relational Learning. Progress in AI is slowed down by the difficulty of engineering large scale end-to-end systems that reason under uncertainty. Probabilistic Programming frameworks dramatically simplify this task. I have developed markov thebeast, a Markov Logic engine used in research institutes around the world. It has helped developers to create state-of-the-art probabilistic models—without the need of a post-graduate degree in Machine Learning. I am also involved in the development of factorie and our new framework wolfe.
I am also interested in helping out the Ishinomaki Children’s Refuge Center.
1 Roughly equivalent to US Associate Professor.