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.

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.

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.