I am currently a post-doctoral research fellow in the research department of Cognitive, Perceptual and Brain Sciences, within the Division of Psychology and Language Sciences of University College London. Between 2002 and 2004, I held a similar research position in the Gatsby Computational Neuroscience Unit, also in UCL. I have a PhD and MSc in Cognitive Science from Cornell University.
Resume
My Curriculum Vitae is available here [pdf]
Research Interests
My general research interests are in computational cognitive science, and the application of mathematical and statistical models to the understanding of human cognition. Currently, this research primarily involves computational modelling of human language processing and psycholinguistics, with particular emphasis on modelling how word meanings are learned from statistical information.
Recent Papers
- Andrews, M. & Vigliocco, G. (2010) The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation. Topics in Cognitive Science. [pdf]
- Andrews, M. & Vigliocco, G. (2009) Learning Semantic Representations with Hidden Markov Topic Models. Proceedings of the 31st Annual Meeting of the Cognitive Science Society. [pdf] (This paper was awarded the annual prize for computational modeling of language at the Cognitive Science Conference.)
- Vigliocco, G., Meteyard, L., Andrews, M. & Kousta S. (2009) Toward a Theory of Semantic Representation. Language and Cognition, Vol. 1(2).
- Andrews, M., Vigliocco, G. & Vinson, D. (2009). Integrating Experiential and Distributional Data to Learn Semantic Representations. Psychological Review, Vol. 116(3), pp 463-498. [pdf]
- Andrews, M., Vinson, D. & Vigliocco, G. (2008). Inferring a Probabilistic Model of Semantic Memory from Word Association Norms. Proceedings of the 30th Annual Conference of the Cognitive Science Society. [pdf]