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Patrick Jeuniaux, MA

specialization psychology; statistics; artificial intelligence
function research assistant, PhD student, employee in MAD Lab
centers of interest memory and cognition; models of word learning
email patrick dot jeuniaux at gmail dot com
website http://patrickjeuniaux.eu/
CV Patrick_Jeuniaux_CV.pdf
more about me Patrick Jeuniaux graduated with a Master's degree in psychology and educational sciences from the Université catholique de Louvain (UCL) (Belgium) in 1999. His main concerns were mental imagery and mental model theory in human reasoning. In 2000 he received a Master's degree in statistics from the same institution, where he worked notably on the LISREL model. He enrolled as a research assistant for the development of a website used for teaching statistics in the field of management from 2000 to 2002. In 2001 he offered pedagogical guidance to one partially sighted and one blind student undertaking their first year of studying economical, social, and political sciences at UCL. From 2002 to 2003 he participated as a research assistant in the project "Generic Technology for Information Extraction from Texts" at the Katholieke Universiteit Leuven (K.U.Leuven) (Belgium) where he focused on psychological processes involved in theme extraction and on computational solutions to coreference resolution. He realized a Master's degree in Artificial Intelligence at KULeuven from 2002 to 2004 and worked especially on the issue of the psychological realism of the Discourse Representation Theory, a formal semantics theory aimed at deriving the meaning of discourse. In 2004 he entered the Institute for Intelligent Systems from the University of Memphis to pursue a Phd in psychology. He is in charge as a research assistant with computational and psychological aspects of the iMAP project. His interests are mainly oriented towards the issue of meaning and representations (especially in language). As far as psychology is concerned he is mainly interested in learning/memory mechanisms and development of semantic representations.
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