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  Bruno Sansó

Bruno Sansó

Professor

831-459-1484

8314591484 (Fax)

 

Baskin School of Engineering

Statistics

Professor

Faculty

Regular Faculty

Statistics
Data Studies
Climate Change
Mathematical Modeling

Engineering Building 2
525

SOE2

          Bruno Sansó is Professor of Statistics in the Department of Statistics of the University of California Santa Cruz, where he has been part of the faculty since the Fall of 2001. Sansó was chair of the Department of Applied Mathematics and Statistics from 2009 to 2014. Before coming to Santa Cruz, he was a founding member of the Center for Statistics and Mathematical Software as well as of the Department of Scientific Computing and Statistics of Universidad Simón Bolívar, Caracas, Venezuela, and worked at USB from 1987 to 2002.
          Sansó obtained a PhD in mathematics at Universidad Central de Venezuelain 1992 with the dissertation "Near Ignorance Classes for Bayesian Analysis" written under the supervision of Luis Raúl Pericchi. After obtaining the PhD, his research activity focused on problems on robust Bayesian inference. Subsequently, Sansó worked in problems related to model selection, meta-analysis and spatio-temporal modelling for rainfall and other environmental variables, always from a Bayesian viewpoint. Currently Sansó's work is focused on Bayesian spatio-temporal modeling, environmental and geostatistical applications, uncertainty quantification for complex computer models, statistical models for extreme values and statistical assessment of climate variability.
          Sansó was the Editor in Chief for Bayesian Analysis from 2016 to 2018. He has been Associate Editor for Technometrics and for the Journal of Statistical Planning and Inference. Sansó is an elected member of the International Statistical Institute, Fellow of the American Statistical Association, and Fellow of the International Society for Bayesian Analysis. Sansó was the recipient of the Mitchell Prize,awarded to outstanding papers that describe how a Bayesian analysis has solved an important applied problem, in 2009 and 2019. Sansó had leadership roles in various committees and boards of the ASA, ISBA, TIES and the Bernoulli Society. Sansó has collaborated, and continues to do so, with researchers from a number of institutions, nationally and internationally. Sansó has supervised the graduate work of more than 30 students, one of them was the recipient of the 2010 Savage Award to the best thesis in applied Bayesian Methodology. He is currently supervising several students in the graduate program on Statistical Science at UCSC.

 

  • Bayesian spatio-temporal modeling
  • Environmental and geostatistical applications
  • Modeling of extreme values
  • Statistical assessment of climate variability

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