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Naveiro Flores, Roi
Quantitative Methods
PhD: Universidad Complutense de Madrid
BIO
Professor Naveiro holds a BSc in Physics from Universidad de Salamanca, an MSc in Theoretical Physics from Universidad Complutense de Madrid (UCM), and a PhD in Statistics from UCM and the Spanish National Research Council (CSIC). His thesis received the "Best Thesis in Basic AI Research" award from CSIC.
Currently, he serves as a tenure-track professor at CUNEF Universidad. His research interests revolve around probabilistic machine learning, Bayesian statistics, and decision theory, with a specific focus on their applications in the domains of drug discovery and materials design, among others. He has published more than ten articles in international journals, participated in more than five national and European research projects, and been principal investigator in four industrial projects. He has been a visitor at Duke University and the Statistical and Applied Mathematical Sciences Institute (Durham, North Carolina, USA). A full list of his publications is available at
https://scholar.google.com/citations?user=77tPQfEAAAAJ&hl=es
Education
PhD in Statistics and Operations Research, Universidad Complutense de Madrid (2020)
MSc in Theoretical Physics, Universidad Complutense de Madrid (2016)
BSc in Physics, Universidad de Salamanca (2015)
Research Interests
Bayesian statistics, probabilistic machine learning, adversarial machine learning, decision theory.
Career
Postdoctoral researcher at the Institute of Mathematical Sciences of the Spanish National Research Council, 2021–2022
Visiting researcher at Duke University and the Statistical and Applied Mathematical Sciences Institute (Durham, North Carolina, USA), 2019–2020
FPU graduate researcher at the Institute of Mathematical Sciences of the Spanish National Research Council, 2016–2020
Research Assistant at the Astrophysical Institute of the Canary Islands, 2015–2015
Research Assistant at the Institute of Fundamental Physics and Mathematics of the University of Salamanca, 2014–2015
Publications in Scientific Journals
Ríos Insua, David; Naveiro, Roi; Gallego, Víctor; Poulos, Jason: “Adversarial Machine Learning: Bayesian Perspectives”, Journal of the American Statistical Association, 1-22, 2023.
Ekin, Tahir; Naveiro, Roi; Ríos Insua, David; Torres-Barrán, Alberto: “Augmented Probability Simulation Methods for Sequential Games”, European Journal of Operational Research, 306(1), 418-430, 2023.
Banks, David; Gallego, Víctor; Naveiro, Roi; Ríos Insua, David: “Adversarial risk analysis: An overview”, Wiley Interdisciplinary Reviews: Computational Statistics, 14(1), Art. e1530, 2022.
Naveiro, Roi; Redondo, Alberto; Ríos Insua, David; Ruggeri, Fabrizio: “Adversarial classification: An adversarial risk analysis approach”, International Journal of Approximate Reasoning, 113, 133-148, 2019.
Gallego, Víctor; Naveiro, Roi; Ríos Insua, David: “Reinforcement learning under Threats”, Proceedings of the AAAI Conference on Artificial Intelligence, 33 (1), 9939-9940, 2019.
Otros profesores
