Guest Speakers

Salvador has a degree in Mathematics from the University of Santiago de Compostela and a Ph.D. in Industrial Engineering from the University of Coruña. In 1987 he started his teaching activity as a college teacher of Mathematics, and in 1994 he joined the university, teaching at the Polytechnic School of Ferrol (UDC), where he still teaches different subjects in Statistics and Operational Research in Naval and Oceanic Engineering Degree and in Mechanical Engineering Degree. He also participates as a teacher in the Master in Complex Materials, Thermal Analysis and Rheology (double international degree with the Paris Diderot), and in the interuniversity of the three Galician universities in Statistical Techniques.

His research work focuses on parametric and non-parametric estimation of curves, statistical quality control and statistical methods in thermal analysis and rheology. He is the author of more than 120 papers. He has directed 7 doctoral theses and participated in more than 40 research and transfer projects with companies.

He is an associate editor of several scientific journals and an elected member of the International Statistical Institute (ISI). He is Prize “Educator of the Year 2013” for the JLM Project and Award SEIO-FBBVA for the best applied contribution with impact in the social area, innovation, or knowledge transfer in the Statistics field.

Currently, his work as vice chancellor and president of CITIC Foundation.

Contacts:

• This email address is being protected from spambots. You need JavaScript enabled to view it.
• http://dm.udc.es/staff/salvador_naya/index.php
• https://orcid.org/0000-0003-4931-9859

He is an Assistant Professor at the Department of Mathematics (Statistics and Operations Research Area) of the Universidade da Coruña, and obtained his PhD degree from the Universidade da Coruña. He has published numerous papers on spatio-temporal geostatistics both on theoretical properties and practical application with package development in R. His research interests involve spatial and spatio-temporal statistics, computational statistics, functional data, spectral methods among others. He has successfully supervised two doctoral theses and has participated in numerous funded research projects.

Jonatan's research interests lie between spatial statistics and coding, emphasizing point processes, epidemiology, infectious disease modelling and, generally, application-focused methods.

He has a bachelor's degree and a master's background in mathematics. He completed his PhD in spatial and spatio-temporal point processes at the University Jaume I. Jonatan's research projects include techniques for dealing with point patterns: replicated observations, spatio-temporal analysis, graphical methods, hypothesis testing, experimental design, and local characteristics.

In addition to the core research, he has collaborated with some international institutions and leading researchers, including Aarhus University, UCLA, Universidad Nacional de Colombia, Universidad de Antioquia, University of South Bohemia and Lancaster University.

Contacts:

• This email address is being protected from spambots. You need JavaScript enabled to view it.
• https://orcid.org/0000-0002-2296-5271
• https://cemse.kaust.edu.sa/people/person/jonatan-gonzalez

Bachelor's degree in Mathematics, with specialization, master's and doctorate in Statistics. Her research area involves sampling designs, analysis and modeling of spatio-temporal data and functional data and their applications in various areas such as agriculture, environment, meteorology, epidemiology, planning among others. She has developed work on spatiotemporal covariance and prediction models, dynamic spatial sampling designs, univariate and multivariate prediction of spatial functional data, and the extension of optimal sampling design theory to the context of functional geostatistics.

Contacts:

• https://sites.google.com/a/unal.edu.co/martha-bohorquez/

Andrés Farall is a professor of Data Sciences at the Institute of Calculation, Faculty of Exact and Natural Sciences of the University of Buenos Aires. Actuary with a master's degree in Mathematical Statistics and a PhD from the University of Buenos Aires, he has more than 25 years of experience in Data Science, advising companies, organizations and providing postgraduate courses.

Contacts:

• linkedin.com/in/andrés-farall-53111248

Orietta Nicolis earned a degree in Economics with a specialization in mathematics and statistics at the University of Verona. She obtained a PhD degree in Statistics Applied to Economic and Social Sciences at the University of Padua and a postdoctoral fellowship in statistics at the University of Brescia. She is professor at Universidad Andres Bello. Orietta Nicolis is author of many scientific publications and reviewer of several international scientific journals. Her research interests include the study of time series models, spatial and spatial-temporal models applied to environmental phenomena, wavelet-transform theory and applications to fractional, multifractional and multifractal processes.

Contacts:

• linkedin.com/in/orietta-nicolis-2a437848

Daiane is an assistant professor at the Department of Statistics at UFSCar, São Carlos, SP, Brazil and vice-coordinator of the Interinstitutional Graduate Program in Statistics at DEs-UFSCar and ICMC-USP (PIPGEs). She holds a bachelor's degree in Statistics from UFSCar (2003), a Master's in Statistics from UFSCar (2006) and a PhD in Statistics from PIPGEs (2016), with a collaborative period in University of Texas at Austin. Before her PhD, she worked for seven years in the financial market at Itaú Unibanco bank. She has researched in the area of Probability and Statistics, with emphasis on selection and estimation of independent or dependent mixture models, QTL mapping, parametric and non-parametric Bayesian inference and MCMC computational methods with application, mainly, in Genomics and Molecular Biology.

Contacts:

• http://lattes.cnpq.br/8352484284929824

Guillermo’s research areas are in modeling of time series and financial econometrics data. Particularly, on modelling of non-stationary data set which are very common in areas such as: hydrology, ambient ozone, physics, ecology, and economics, to name but a few. Currently, his main interest is by Spatial-Temporal process.

He has a PhD in Statistique at the Catholic University of Chile in September 2010. He made his post-doctoral studies at the University Jaume I, Spain in 2016. Guillermo entered as assistant professor of the Statistic Department at University of Concepción in 2009, and was promoted to associated professor in 2018.

Contacts:

• This email address is being protected from spambots. You need JavaScript enabled to view it.
• https://orcid.org/0000-0002-7233-9885
• https://www.linkedin.com/in/guillermo-patricio-ferreira-cabezas-a9521287/

Franciscos’s main research areas are the spatial and spatio-temporal statistics. In particular, the point processes focused on cluster detection and classification, geometric anisotropy, intensity prediction and data mining through global and local characteristics. He is interested in the extension of classical spatial tools to new scenarios induced by the need to analyses data on linear networks, data on the sphere, data on parallel coordinates or data with attached functional attribute. Most of his work is motivated by applications in Ecology, Meteorology, Epidemiology, Seismology, Astronomy and Criminology. He is very interested in computational statistics, particularly in “The R Project for Statistical Computing”, its packages and the development of computational methods for spatial and spatio-temporal point processes.

He has a bachelor's degree and a master's background in Computational mathematics. He completed his PhD in spatial and spatio-temporal point processes at the University Jaume I where he also realized his Post-Doctoral research. Francisco is Assistant Professor at National University of Colombia, School of Statistics.

Contacts:

• This email address is being protected from spambots. You need JavaScript enabled to view it.
• https://orcid.org/0000-0002-2152-8619
• https://fjrodriguezcortes.wordpress.com

Vinicius is an Associate Professor in the Department of Statistics of the Federal University of Minas Gerais (UFMG, Brazil). He received his Ph.D. degree in the Department of Statistical Science at Duke University (USA, 2011). He also received a B.Sc. degree in Statistics from UFMG (2004), an M.Sc. degree in Statistics from the Federal University of Rio de Janeiro (UFRJ, Brazil, 2006), and an M.Sc. degree in Statistics at Duke University (2009). He is currently an Associate Editor of the Brazilian Journal of Probability and Statistics, Associate Editor for Reproducibility of JASA, and Chair of the Graduate Program in Statistics of UFMG. His research interests include Bayesian Inference, Spatial Statistics, Multivariate Analysis, Survival Analysis, and Statistical Modeling in Bioinformatics.

Contacto:

• https://www.est.ufmg.br/~vdinizm/

Dr. in Statistics and Operations Research - Universidade de Vigo (Spain), Master in University Teaching - Universidad de las Fuerzas Armadas ESPE, Senior Specialist in Finance - Universidad Andina Simón Bolívar, Mathematical Engineer - Escuela Politécnica Nacional (Ecuador).

He is currently Research Professor and Research Coordinator of the Department of Exact Sciences, member of the Research Groups in Mathematical Modeling and Applied Economics at the University of the Armed Forces ESPE. Member of the MODES Research Group at the University of A Coruña. His lines of research are related to geostatistics, non-parametric statistics and the promotion of statistical literacy.

He has more than 20 years of experience collaborating as an instructor and consultant in the field of quantitative research and statistical literacy, for different universities and organizations such as the Ecuadorian Statistical Society, INEVAL, Universidad del País Innova (Mexico), among others.

Contacts:

• https://www.linkedin.com/in/sergio-alberto-castillo-páez/

David Sánchez is an Ecuadorian professional with expertise in the fields of geography and demography. Graduated in Geographic and Environmental Engineering at ESPE and with a Masters and PhD (c) in Demography from the National University of Córdoba in Argentina where the main topic of his academic research is migration, spatial distribution and urbanization.

 He has experience in the private sector as an environmental consultant in the energy field in South American and and as an applied geography and demography consultant for the commercial sector in Ecuador.

In the public sector he has experience as a principal investigator of the Institute of the City of Quito within the framework of the urban agenda. He is currently the director of statistical cartography of the National Statistics Office of Ecuador where he is nationally responsible for the population precensus, the generation of the first geostatistical framework and the zonal manager of the 8th population census and 7th housing census in five provinces of the country

Contacts:

• https://www.linkedin.com/in/davidsanchezsoria/