Membership Committee
September 1st 2020 – August 31st 2022
Carolina Euan (UK)
Stefano Castruccio (USA)
Monica Pirani (UK) (Chair)
Susan Simmons (USA)
Melanie Meis (Argentina)
Jonathan Stroud (USA)
Jonathan Stroud
Jonathan Stroud is an associate professor of Statistics in the McDonough School of Business at Georgetown University. He previously served on the faculty at the University of Pennsylvania, and at George Washington University. He obtained his PhD in Statistics from Duke University, and was a postdoctoral researcher at the University of Chicago and Argonne National Laboratory. His main research areas are Bayesian methods, state-space models, dynamic spatio-temporal modeling, environmental statistics, finance, ensemble Kalman filters, and particle filters. He has published numerous articles in leading statistics and geophysics journals, including Journal of the American Statistical Association, Journal of the Royal Statistical Society (Series B), Journal of Geophysical Research, and Monthly Weather Review.
Stefano Castruccio
Stefano Castruccio is Assistant Professor in Statistics and Concurrent Assistant Professor in Environmental Engineering at the University of Notre Dame (USA). He obtained his PhD in Statistics at the University of Chicago (USA) in 2013, and was postdoctoral scholar at King Abdullah University of Science and Technology (Saudi Arabia) until 2014 and Lecturer at Newcastle University (United Kingdom) until 2017. His research focuses on spatio-temporal statistics with environmental applications, ranging from emulation of climate models and stochastic weather generation, to monitoring air pollution and wind energy.
Susan Simmons
Dr. Susan Simmons currently works as a Teaching Professor at the Institute for Advanced Analytics located at North Carolina State University. She is an Associate Editor for Environmentrics and the Vice President for the North Carolina Chapter of the American Statistical Association (and the past chair of the Risk Analysis Section of ASA). Her research interests are in the area of Bayesian Statistics and Toxicology.
Melanie Meis
I am a teaching assistant in the Atmospheric and Oceanic Department (DCAO) in the Universidad de Buenos Aires (UBA); and in the Mathematics and Statistics Department in Universidad Torcuato Di Tella, Argentina. I finished my PhD in December 2019, in which I studied the streamflow as a climatic and hydrologic variability indicator, going deeper in the relation between discharge and several climatic oscillations such as ENSO for Argentine basins. Part of this work was presented in the TIES 2018, in which I was awarded with the TIES-Wiley Best Student Presentation Award.
Nowadays, I decided to extend my research, and I will be studying the association between precipitation and temperature extremes in South America through extreme multivariate analysis, finding potential connections with physical processes. Moreover, with this work I am willing to understand if in different future modeled scenarios of climate change, the frequency, intensity and interrelation in the precipitation and temperature extreme could be altered.
Monica Pirani
I am a lecturer in biostatistics in the Department of Epidemiology and Biostatistics at the Imperial College London. My research focuses on environmental biostatistics, investigating the health effects of air pollution and changes in climate. Methodologically, I'm interested in statistical methods for spatial and spatial-temporal data, time series analysis, Bayesian hierarchical methods and Bayesian nonparametric methods for clustering.
Previously, I was a research associate in biostatistics at Imperial College London, and a research fellow in statistics at the University of Southampton. I received my PhD in Environmental Studies from King’s College London (2016), working on statistical modelling for correlated metrics of airborne particles. I obtained a MSc in Biostatistics and Experimental Statistics from the University of Milan-Bicocca (2009), and a MSc in Epidemiology from the Catholic University of Rome (2004). Before that, I received a degree in Political Science and a post-degree specialization in Sociology of Health from the University of Bologna.
Carolina Euan
Carolina Euán is a Lecturer in Statistics at the Mathematics and Statistics department, University of Lancaster. She obtained her Ph.D in Probability and Statistics at CIMAT in 2016 and was a postdoctoral scholar at King Abdullah University of Science and Technology (Saudi Arabia) until May 2020. Her research interest includes the developing of new statistical methods for the analysis of complex time series and spatio-temporal data.
