Dr. Daniela Castro-Camilo was a postdoctoral fellow in the Extreme Statistics Research Group of Prof. Raphaël Huser from November, 2015, to May, 2019, doing research on the theory and applications of multivariate and spatial extremes.
After her postdoc at KAUST, Daniela moved to the University of Glasgow, United Kingdom, where she embraced an academic career by becoming a Lecturer (equivalent to Assistant Professor in the UK) of Statistics. See her personal webpage.
Education and early career
Daniela Castro-Camilo received her Ph.D. from Pontificia Universidad Católica de Chile in August 2015. She joined KAUST as a postdoc in November 2015 and moved to the University of Glasgow, UK, in May 2019.
Areas of expertise and current scientific interests
Dr. Castro-Camilo's interest focuses on the spatial modeling of extremes of natural processes. Her primary motivation comes from different exploratory analysis arising from observational and simulated data, suggesting that the occurrence and size of such phenomena will increase with time. The modeling and prediction of spatial extremes are therefore needed to manage the potential environmental, social, and economic consequences.
At KAUST, Dr. Castro-Camilo has also been collaborating with professor Håvard Rue' group on Bayesian Computational Statistics & Modeling, by developing predictive models for extreme observations using latent Gaussian processes, as well as by helping improving current INLA implementations for extreme-value models.