The Scientific Advisory Board is made up of high-level, internationally renowned scientists who are not affiliated with any of the Institute's partners. It gives its opinion on the major orientations of the Institute's scientific policy, and ensures consistency between the development of its activities and its scientific programs.
Larry Wasserman is a Professor in the Department of Statistics and the Department of Machine Learning at Carnegie Mellon University. D. from the University of Toronto in 1988. He received the COPSS Presidents' Award in 1999 for outstanding statistician under 40, and the CRM-SSC Award in 2002. He is also an elected member of the American Statistical Association, the Institute of Mathematical Statistics and the American Association for the Advancement of Science.
Juliana Freire is Institute Professor at the Tandon School of Engineering and Professor of Computer Science and Engineering and Data Science at New York University. With an M.S. and Ph.D. in Computer Science from the State University of New York at Stony Brook, and a B.S.
Masaru Kitsuregawa is Director of the National Institute of Informatics and Professor at the Institute of Industrial Science, University of Tokyo. D. from the University of Tokyo in 1983. He has held various positions, including President of the Information Processing Society of Japan (2013-2015) and Chairman of the Committee for Informatics of the Science Council of Japan (2014-2016). He has many research interests, particularly in the field of database engineering. He has received numerous awards, including the ACM SIGMOD E. F.
Laure Lucchesi is Director of Etalab, the mission responsible for piloting the opening up and sharing of public data (Open Data). This organization, which reports to the Prime Minister, is responsible for promoting the opening up and sharing of public data. Etalab administers the data.gouv.fr portal, designed to bring together and make freely available all public information held by the State, its public establishments and, if they so wish, local authorities and public or private-sector entities entrusted with a public service mission.
Verena Rieser is Professor of Artificial Intelligence at Heriot-Watt University, Edinburgh, where she is affiliated with the Interaction Lab and the Edinburgh Centre for Robotics. Verena holds a PhD from Saarland University (2008) and worked as a postdoctoral researcher at the University of Edinburgh (2008-11). Her research focuses on statistical learning techniques for conversational AI, i.e. spoken dialogue systems and language generation. She is the author of over 100 peer-reviewed papers and has received several awards for her research.
Stefan Wrobel is Professor of Computer Science at the University of Bonn and Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS. He studied computer science and artificial intelligence in Bonn and Atlanta, Georgia/USA (M.S.,Georgia Institute of Technology) and obtained his doctorate at the University of Dortmund. After several years of study at the University of Dortmund, he obtained his Ph.
A former student at the École normale supérieure, Henri Verdier was founder and CEO of Odile Jacob Multimédia. Together with Jean-Michel Lasry, Pierre-Louis Lions and Olivier Guéant, he co-founded MFG-Labs, which he left in 2012 and which was acquired by Havas Media in May 2013. A founding member of the Cap Digital competitiveness cluster, he served as Vice-Chairman from 2006 to 2008, before becoming Chairman of the Board from 2008 to January 2013.
John Shawe-Taylor is Professor of Computer Science at University College London. He has contributed to a fundamental renaissance in statistical learning, with applications in new fields such as computer vision, document classification, and applications in biology and medicine focusing on brain scanning, immunity and proteome analysis. He has published over 250 articles and two books, which have been cited over 66,000 times. He has also helped to set up a series of influential European networks of excellence.
