I’m currently a Reader1 at the University College London and an Allen Distinguished Investigator, leading the Machine Reading Lab. I am also the head of research at Bloomsbury AI. 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 work on teaching machines how to read and reason, in the intersection of Natural Language Processing (NLP) and Machine Learning. Recently, I have been tackling these problems via forms of end-to-end differentiable program interpreters as well as adversarial regularisation. I am generally interested in deep learning, good old graphical models as well as old-school symbolic AI.
Here are a few recent representative publications:
- Programming with a Differentiable Forth Interpreter, , Proceedings of the 34th International Conference on Machine Learning (ICML) 2017 [pdf] [details]
- End-to-end Differentiable Proving, , Advances in Neural Information Processing Systems (NIPS) 2017 [pdf] [details]
- Adversarial Sets for Regularising Neural Link Predictors, , Proceedings of the 33th Annual Conference on Uncertainty in AI (UAI) 2017 [pdf] [details]
- Complex Embeddings for Simple Link Prediction, , International Conference on Machine Learning 2016 [pdf] [details]
If you are interested in doing a PhD with me, please have a look at these instructions.
1 Roughly equivalent to US Associate Professor.