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 interests focus on different aspects of modeling under uncertainty, a recurring theme throughout my career as a researcher. I have worked mainly on modeling in the field of life sciences (epidemiology, biology, etc.). The problems addressed have been approached through mathematical and/or statistical modeling, incorporating new methodological results as well as contributions to estimation methods. My publications have appeared primarily in the categories of Statistics and Probability, Applied Mathematics, and Computer Science.

Over the past ten years, my contribution to knowledge generation has followed two main directions: (a) the modeling of omics data and (b) the modeling of infectious diseases.

[Biography, english version]