Jennifer joined the Behavioural Science Group at WBS in autumn 2012 as a postdoctoral researcher, working with Nick Chater. She completed her PhD in psychology at Cornell University, where she combined empirical and theoretical approaches to investigate the mechanisms supporting language and statistical learning across various levels (psycholinguistic, behavioural, developmental, genetic, and computational); part of her work also earned the 2009 David Marr Prize from the Cognitive Science Society. Before her doctoral studies, Jennifer finished a Bachelor of Arts degree (double-majoring in Philosophy and Psychology), with an additional concentration in Cognitive Science, from Williams College.
Jennifer's research interests include coordinated social behaviour and foundations for communication; individual differences in mechanisms for statistical learning and language; modelling of language-related processes; sequential and implicit learning in development; philosophy of cognitive science.
Misyak, J. & Christiansen, M. (2012). Statistical learning and language: An individual differences study. Language Learning, 62, 302-331.
Van den Bos, E., Christiansen, M. & Misyak, J. (2012). Statistical learning of probabilistic nonadjacent dependencies by multiple-cue integration. Journal of Memory and Language, 67, 507-520.
Farmer, T., Monaghan, P., Misyak, J. & Christiansen, M. (2011). Phonological typicality influences sentence processing in predictive contexts: A reply to Staub et al. (2009). Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 1318-1325.
Misyak, J., Christiansen, M., Ohlsson, S. & Catrambone, R. (2010). When ‘more’ in statistical learning means ‘less’ in language: Individual differences in predictive processing of adjacent dependencies. Proceedings of the 32nd Annual Conference of the Cognitive Science Society, 2686-2691.
Misyak, J., Christiansen, M. & Tomblin, J. (2010). Sequential expectations: The role of prediction-based learning in language. Topics in Cognitive Science, 2, 138-153.
Misyak, J., Christiansen, M. & Tomblin, J. (2010). On-line individual differences in statistical learning predict language processing. Frontiers in Psychology, 1(31).
Misyak, J., Christiansen, M., Tomblin, J., Taatgen, N. & Van Rijn, H. (2009). Statistical learning of nonadjacencies predicts on-line processing of long-distance dependencies in natural language. Proceedings of the 31st Annual Conference of the Cognitive Science Society, 177-182.
Misyak, J., Christiansen, M., McNamara, D. & Trafton, J. (2007). Extending statistical learning farther and further: Long-distance dependencies, and individual differences in statistical learning and language. Proceedings of the 29th Annual Cognitive Science Society, 1307-1312.
A full list of Jennifer's publications can be found here
Topic: General Mechanisms behind persistence in behavioural change
Supervisors: Nick Chater and Daniel Read
Hana graduated from London Metropolitan University in 2009 with a BSc (hons) in Psychology. During her undergraduate she was awarded the Tom Welsh Prize for Best Undergraduate Project for her project "Perfectionism applied to processing characteristics in choice-making tasks". After completing her degree, Hana worked in research and teaching roles in various London institutions as well as for austism charities based in the capital. Hana joined WBS in 2011 as the Laboratory Manager for the Behavioural Science Group before making the decision to undertake her PhD within the group.