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, structured prediction 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 natural language processing, relational learning, collaborative filtering and computational social science applications. In particular, I study 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 and the Department of Statistical Science .

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!