Supervision

Doctoral and master’s students I have supervised or co-supervised

Doctoral thesis supervision

Bayesian Neural Networks for Enhanced Biomedical Image Segmentation: Methods and Applications — Sebastián Bera (2024– )

Statistics and Operations Research PhD, Universitat Politècnica de València · co-supervised with Adrián Colomer

Bayesian Statistical Modeling for Spatiotemporal and Compositional Data in Marine Science: New Tools and Applications — Jorge Mestre (2024– )

Statistics and Operations Research PhD, Universitat Politècnica de València · co-supervised with Marta Coll

Bayesian Multivariate Modeling of High-Dimensional Compositional Microbiome Data — Oihane Álvarez Polo (2024– )

Statistics and Operations Research PhD, Universitat Politècnica de València · co-supervised with Blanca Sarzo & María José López-Espinosa

Effect of B-cell Lymphomas on the Immune System and Immune Reconstitution after Chemoimmunotherapy — Eva María Donato Martín (2023– )

Medicine PhD, Universitat de València · co-supervised with María José Terol Casterá

Visiting doctoral students

A Random Activation Framework for Cure Models with Waring-Distributed Latent Causes — Jonathan Kevin Vasquez (2025–2026)

University of São Carlos · collaborative work with Vera Tomazella & Danilo Alvares da Silva

Bayesian Analysis with INLA for Survival Models with Latent Variables Modeled by the Zero-Modified Power Series Distribution — Katy Rocío Cruz Molina (Sep 2024–Jun 2025)

University of São Carlos · collaborative work with Vera Tomazella & Danilo Alvares da Silva

Master’s thesis supervision

Methodology for Estimating the Useful Life of Mining Drilling Tools Using Bayesian Reliability Models — Reinaldo Arturo Espina Navarro (2025)

Master’s in Data Analysis, Process Improvement and Decision Support Engineering, Universitat Politècnica de València

Precision and Uncertainty in Image Classification for the Food Industry: A Deterministic and Bayesian Convolutional Neural Network Approach — Raúl López Romero (2024)

Master’s in Data Analysis, Process Improvement and Decision Support Engineering, Universitat Politècnica de València · co-supervised with Adrián Colomer

Predictive Models for a Modal Split Problem — Luis Enrique Palma Mejía (2023–2024)

Master’s in Data Analysis, Process Improvement and Decision Support Engineering, Universitat Politècnica de València · co-supervised with Eva Vallada

Bayesian Zero-Inflated Modeling of the Incidence and Burden of Injuries in Professional European Football — Oihane Álvarez Polo (2022–2023)

Master’s in Biostatistics, Universitat de València · co-supervised with Dae-Jin Lee

Spatial Analysis of Spanish Bank Branches — Constanza Dalla Quercia (2021–2022)

Master’s in Data Analysis for Business, Università Cattolica del Sacro Cuore · co-supervised with David Conesa

Spatial Bayesian Geo-Additive Modelling: Predicting Soil Texture in the Basque Country — Miguel Ruá del Barrio (2019–2020)

Master’s in Biostatistics, Universitat de València · co-supervised with Dae-Jin Lee

Spatial Modeling of Fish Richness in the Mediterranean Sea — Joao Carmezim (2019–2020)

Master’s in Biostatistics, Universitat de València · co-supervised with David Conesa

Bachelor’s thesis supervision

Integrated Processing of Industrial Telemetry for Temperature Modelling in Railway Bearings — Eva Martín Iglesias (2025)

Bachelor’s degree in Data Science, Universitat Politècnica de València · co-supervised with Javier Jorge Cano and José Ponce Hernando

Predicting Supermarket Condiment Sales Using Time Series Models — Óscar Jiménez Bou (2025)

Bachelor’s degree in Business Administration and Management, Universitat Politècnica de València