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Archive of Statistical Science News

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Professor Mark Girolami appointed Editor-in-Chief of Statistics and Computing

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Professor Mark Girolami is to take the helm as Editor-in-Chief of Statistics and Computing, a bi-monthly refereed international journal which publishes papers covering the range of the interface between statistical and computer science.

Research team including Dr Gianluca Baio funded by the MRC

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The research project "Cannabidiol: a novel treatment for cannabis dependence?" (led by Professor Valerie Curran, UCL Clinical Education & Health Psychology) and including Dr Gianluca Baio has been funded by the MRC Developmental Pathway Funding Scheme/Developmental Clinical Studies Panel and will start in January 2013. The project is worth over £1m and will investigate the effectiveness and tolerability of Cannabidiol, a highly promising treatment for cannabis dependence, using a Bayesian adaptive design.

Professor Mark Girolami awarded EPSRC funding to advance Interactive Machine Learning as an emerging theme of ICT research

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Professor Mark Girolami has been awarded an EPSRC project grant in collaboration with Professor Kate Jones (UCL Genetics, Evolution and Environment) and Dr Gabriel Brostow (UCL Computer Science).  The project "Interactive Machine Learning Accelerating Progress in Science, An Emerging Theme of ICT Research" will address fundamental theoretical and methodological issues to establish a new area of ICT research in addressing opening questions in biodiversity science.

Dr Serge Guillas awarded funding from UCL Business to study tsunami risk

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Dr Serge Guillas has received proof-of-concept funding from UCL Business to quantify tsunami risk in the Cascadia Region (British Columbia in Canada, Washington and Oregon in the USA). This study will demonstrate that probabilistic tsunami hazard assessments of high precision can be carried out for this region of interest to the insurance industry. In future, the same methodology will also be applicable to other tsunami-prone regions around the world, with results relevant to development planning and civil defence as well as to the insurance industry. The tsunami model VOLNA from University College Dublin used for this project is running on the new GPU cluster Emerald.

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