Rubén Amorós Salvador, Graduate in Statistical Sciences and Techniques, Master in Research in Didactics, and PhD in Statistics from the Universitat de València, is currently a permanent lecturer at the Departament d’Estadística i Investigació Operativa of the Universitat de València.

He has conducted research at the FISABIO foundation, at the Universitat de València, and at the University of Edinburgh, among other institutions, in statistics applied to epidemiology, rare diseases, health and the environment, as well as disease detection; using Bayesian hierarchical statistical modelling, Markov chains, time series and GAM models. He has also taught university-level courses at the University of Edinburgh, the Universitat de València and the Fundació Universitària CEU San Pablo.

David Conesa has a PhD in Mathematics from the University of Valencia, where he has been working since October 1993. He conducts research in the area of ​​statistical modeling of situations in which uncertainty is present, and does so mainly from a Bayesian perspective. Thus, for example, he has worked on problems of queues, hierarchical models, efficiency analysis, animal survival models, and lately in species distribution models.

He is co-author of 100 publications, the majority indexed in journals of international impact, and more than 275 communications in national and international conferences. He has co-directed 10 theses and is currently co-directing four more.

He has carried out research and teaching stays at Duke University (USA), Lancaster University (UK), Statistical and Applied Mathematical Sciences Institute (USA), Université de Bordeaux (France), Università de Bergamo (Italy), Universidade do Minho (Portugal), Università Cattolica del Sacro Cuore (Italy) and several Spanish universities.

He was the President of the Spanish Region of the International Biometric Society during the years 2014 and 2015, and is currently the Editor-in-Chief of the journal Statistics and Operations Research Transactions (SORT).

He has taught Mathematics, Biostatistics, Design of Experiments, Spatio-Temporal Statistics, Mathematical Statistics, Statistical Modeling, Probability and Simulation, Bayesian Statistics, Computing and Programming in R, Generalized Linear Models, and Smoothing, Additive and Mixed Models.

[ Automatic translation ]

Doctor in Statistics and Optimization from the University of Valencia (extraordinary doctorate award in Mathematics). He has taught in Discrete and Continuous Optimization and Applied Statistics for more than a decade and has been a tutor for 15 final degree and master's degree projects.

His main line of research, which began with his doctoral studies, has been the development of combinatorial optimization models and algorithms to solve real problems in the logistics and maritime transport sector, specifically in the problems of assigning berths to ships and the planning of dock cranes. Their results are current as part of the state of the art in different variants of these problems. He has also addressed packaging problems, among which a real container problem proposed by Renault for a EURO ESICUP group competition stands out, in which he won one of the prizes, along with the rest of the research team. He is also currently working on other lines of research, developing exact decomposition methods for graph problems, optimization algorithms for airport allocation problems and optimal planning methods for the distribution of goods using drones.

ORCID: 0000-0002-0597-1741

ScopusID: 56708774900

Maria Grau Pérez has a degree in Mathematical Sciences (2010) with a Master in Biostatistics (2014), both from the University of Valencia. After a few years working as a Statistics Specialist first at Johns Hopkins University (Baltimore, 2014-2016) and then at Columbia University (New York, 2016-2018), she returned to Spain to complete her doctorate in Epidemiology and Public Health for the Autonomous University of Madrid (2022).

She currently has a position in the Department of Statistics and Operational Research of the University of Valencia and is a researcher at the Health Research Institute of the Clinical Hospital of Valencia (INCLIVA).

Her research focuses on evaluating the health effects of long-term environmental exposures (metals, tobacco or eating habits, among others), with special interest in the integration of genetics and the development of causal inference methods. For the last 10 years she has been working on research projects related to the environment in cohort studies that have led to more than 40 scientific articles published in high impact journals.

PhD in Statistics and Degree in Mathematics. Currently  Associate Professor at the Department of Statistics and Operational Research, University of Valencia. Academic and professional work focuses on applied statistics, epidemiology and public health, with previous experience in universities and public health research institutions.

Has participated in research projects at international, national and regional levels and collaborates in doctoral and master’s training activities. Author of scientific publications in specialized journals and regular participant in national and international conferences. Also involved in scientific management and advisory activities related to health and the environment.

Elena Lázaro is an Agronomist Engineer from the Polytechnic University of Valencia (2008) and holds a PhD in Statistics and Optimization from the University of Valencia (UV, 2018). She is currently an Assistant Professor at the Department of Statistics and Operations Research at UV, where she teaches statistics, combining methodological and applied approaches for data analysis and interpretation, and participates in educational innovation projects. Between 2018 and 2023, she worked as a postdoctoral researcher at the Valencian Institute of Agricultural Research (IVIA).

She is a member of the VABAR research group (València Bayesian Research Group) and has participated in several European H2020 projects, such as XF-ACTORS and Pre-HLB. Her research focuses on the application and development of Bayesian methods for survival analysis and joint models, predictive modeling of plant pests and pathogens, optimization of plant health surveillance systems, and meta-analysis methodology applied to pathogen control policies. This work has been reflected in numerous publications in JCR journals and technical reports for EFSA (European Food Safety Authority).

Antonio Manuel López Quílez graduated with a bachelor's degree and doctorate in Mathematics from the University of Valencia in 1989 and 1997, respectively. He is currently Full Professor in the Department of Statistics and Operations Research at the University of Valencia, where he teaches courses related to Spatial Statistics and Geographic Data Analysis in the Official Master's Degree in Biostatistics and the Bachelor's Degree in Data Science. 

His research activity is characterized by a combination of methodological developments and practical applications in the context of Bayesian statistics for spatial and spatiotemporal models. In this research work, he has collaborated in a wide range of scientific fields: epidemiology, agriculture, environment, geography, veterinary medicine, forestry, oceanography, and psychology. These collaborations have resulted in publications in different areas, multidisciplinary projects, contracts with companies and official bodies, specialized training courses, and consulting work.

He has published more than 250 articles, half of them in indexed journals, most of which have a high impact factor. The results of his research have also been presented in more than 380 communications at scientific conferences, most of them international. The dissemination of the results has always been twofold, presenting methodological advances at statistical meetings and applications at meetings in other scientific areas. He has also supervised 18 doctoral theses.

He has participated in more than 100 research transfer projects and contracts, in more than 30 as principal investigator. His career highlights include numerous collaborations with companies and public institutions, resulting in agreements and technology transfer contracts, developing Geographic Information Systems, database query and exploitation applications, and decision-making support tools.

I am a tenured professor at the University of Valencia. My previous professional career was mainly devoted to research in Public Health at different national institutions. My scientific work lies at the intersection of the development of statistical methods and their application to relevant problems in Public Health. In particular, my research focuses on the development of methods for spatial statistics and Bayesian statistics. Throughout my career, I have sought to integrate methodological rigor with the practical usefulness of results. My work combines research, teaching, and knowledge transfer.

[Biography, english version]

My research focuses on different aspects of modeling under uncertainty, which has been a recurring theme throughout my research career. I have primarily worked on modeling problems in the life sciences, including epidemiology, medicine, and biology. These problems have been addressed using statistical modeling approaches, often incorporating new methodological results. My work has been published mainly in journals classified within Statistics and Probability, Applied Mathematics, and Computer Science.

During the last ten years, my contributions have concentrated mainly on two areas: (a) modeling of omics data and (b) modeling of infectious diseases.