My name is Tom De Smedt. I have a doctoral degree in arts, a master's degree in audiovisual arts and a bachelor's degree in software engineering. I am affiliated with the Computational Linguistics Research Group (CLiPS, University of Antwerp) and co-founder of the Experimental Media Research Group (EMRG, St Lucas School of Art, Antwerp). My research interests include computational creativity, computational linguistics, machine learning and cognition.

Projects that may interest you:

Pattern is a web mining toolkit for Python (BSD license), including functionality for data mining, natural language processing, machine learning, graph analysis, statistics and in-browser data visualization.

NodeBox is free software that generates. 2D graphics from Python code. My work includes modules for image compositing, graphs and Bézier geometry. NodeBox for OpenGL is a hardware-accelerated implementation, based on Pyglet.

Publications that may interest you:

Tom De Smedt (2013). Modeling Creativity: Case Studies in Python. University Press Antwerp. ISBN 978-90-5718-260-0.
Tom De Smedt  & Lieven Menschaert (2012). VALENCE: Affective visualisation using EEG. Digital Creativity, 23(3-4): 272-277.
Tom De Smedt & Walter Daelemans (2012). Pattern for Python. Journal of Machine Learning Research, 13: 2063–2067. IF 2.974

Exhibitions that may interest you:

Tom De Smedt, Lieven Menschaert, Ludivine Lechat & Tim Augustynen (2012). Valence. Interieur 2012. 20–28 October 2012, Buda, Kortrijk, Belgium.