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Fúquene-Patiño holds a B.S. in Statistics (Universidad Nacional de Colombia), an M.S. in Statistics from the University of Puerto Rico, an M.S., in Applied Mathematics and Statistics from UC Santa Cruz where he was Chancellor’s Fellow (2011). He obtained his Ph.D. in 2018 from University of Warwick under the supervision of Professors Mark Steel and David Rossell and recently was a Postdoctoral Associate in the Department of Statistical Science at Duke University. 


His research focuses on developing methods and computationally scalable approaches for a variety of data-driven problems with an emphasis on Bayesian model selection, Weakly Informative Priors and Bayesian modeling with extreme values, in conjunction with applications to economic time series, Functional magnetic resonance imaging (fMRI), clinical trials, environmental data, survey sampling data among others. 



Full Article at CAMPOS (Thomas O'Donnell):

Jairo Fuquene
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