Cedric Archambeau

My research is in statistical machine learning, which is closely related to artificial intelligence and has a large overlap with computational statistics.

My work addresses fundamental problems in data assimilation, natural language processing and personalised content creation. A natural framework to deal with these problems are stochastic process models and approximate Bayesian inference, the main challenge being to find efficient ways to deal with today's exponential increase of (freely) available digital data and uncertainty. I am also interested in large-scale adaptive systems that combine crowdsourcing and machine intelligence to assist, for example, knowledge workers in their daily tasks.

I received an Electrical Engineering degree and PhD in Applied Sciences from the Université catholique de Louvain, respectively in 2001 and 2005. I was a member of both the Machine Learning Group and the Crypto Group. Until mid 2005, I was involved in the European project OPTIVIP, in which we developed a visual prosthesis for blind people. Since then I have contributed to the European projects SCARD and PinView, as well as the UK funded project VISDEM, while doing a Post-doctorate at University College London.

At present, I am leading the Machine Learning for Services group at Xerox Research Centre Europe. I am an active participant of the PASCAL European network of excellence. I also hold an Honorary Senior Research Associate position at University College London in the Centre for Computational Statistics and Machine Learning.

A list of selected of publications can be found at www.cs.ucl.ac.uk/staff/C.Archambeau.

Our group has internship, PhD and Post-doc opportunities all year round. For further information, please send me an email!