Phone : +33(0)476615194 email@example.com
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
, 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!
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