Maurizio Filippone
- Associate Professor, Statistics
- Principal Investigator, Bayesian Deep Learning
KAUST Associate Professor of Statistics Maurizio Filippone’s primary research focus is Bayesian statistics, namely, enabling sound decision-making through uncertainty quantification in model parameters and predictions. His main research interests are in models based on deep learning and Gaussian processes
Biography
Professor Maurizio Filippone received his Master’s in Physics and a Ph.D. in Computer Science from the University of Genova, Italy, in 2004 and 2008, respectively. During his Ph.D. studies in 2007, Filippone spent a year as a research scholar at George Mason University, U.S.
From 2008 to 2011, he was a research associate at the University of Sheffield, U.K. (2008 to 2009), the University of Glasgow, U.K. (2010), and University College London, U.K. (2011). In 2011, Filippone took up a lecturer position at the University of Glasgow, which he left in 2015 to join EURECOM, France, as an associate professor.
In 2024, Filippone joined the Statistics program at KAUST as an associate professor.
Research Interests
Professor Filippone’s primary focus is Bayesian statistics, which enables sound decision-making through uncertainty quantification in model parameters and predictions; his main interests are in models based on deep learning and Gaussian processes.
Filippone is interested in the foundations of Bayesian statistics and computational aspects related to its use in practice. More specifically, he is developing approximations that enable recover tractability while being principled, practical and scalable.
He is also interested in applications in life and environmental sciences where uncertainty matters.
Professional Profile
Service Contributions
- Service to the Discipline or Profession
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Senior Area Chair for the International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 - present
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Area Chair for the International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 - 2022
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Guest Editor for the ECML/PKDD Machine Learning Journal track., 2020
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Associate Editor for Pattern Recognition (2012–2016)., 2012 - 2016
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Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems., 2013 - 2016
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Technical Program Chair for the 2014 International Joint Conference on Neural Networks (IJCNN), 2014
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Program Committee Member of NeurIPS and ICML., 2014 - present
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Awards and Distinctions
- Best Ph.D. Thesis Award obtained by my student Ba-Hien Tran, Doctoral School of Sorbonne University, France, 2023
- Best Paper Award, The Biennial Pattern Recognition Journal Award, 2008
Education
- Doctor of Philosophy (Ph.D.)
- Computer Science, University of Genoa, Italy, 2008
- Master of Science (M.S.)
- Physics, University of Genoa, Italy, 2004
Questions and Answers
Why KAUST?
KAUST has a unique concentration of talents, and it offers an unparalleled level of support to its faculty. I feel privileged and honored to have the opportunity to work in such a wonderful environment and to contribute to its excellence in research and teaching.