Biography:
He received his bachelor's degree in Physics from the University of Seville (US). He was granted a scholarship by the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) to pursue a Master´s degree in Physics of Complex Systems at the University of the Balearic Islands (UIB). He has had experience as technical staff in several astronomical research centers (INTA, ESA, CAB, IAA) developing numerical models for the study of planetary atmospheres. Subsequently, he has worked as a data scientist at CIEMAT studying air quality in Madrid´s municipality analyzing data from Madrid´s open data portal. He has also worked in computer consulting. His scientific and work experience has generated in him great interest in applied and cross-disciplinary science. Since January 2022 he is a researcher in trainning at the Instituto de Investigación Tecnológica (IIT) associated to Universidad Pontificia de Comillas within the framework project "Resilience to Wildfires; Modeling and Prediction".
Areas of interest:
Operational wildfire models and applications. Optimization for the design of Wireless sensor network using fire simulations. Use of forestry databases and LiDAR data to model forest and fuel spatial distribution. Application of bayesian inference methodologies to estimate stochastic propagation rules from fire data in fire spread Cellular Automata.
Skills:
Development of numerical simulations using Python and Fortran. Stochastic modelling and statistical inference. Cellular Automata. Bayesian networks, Unsupervised machine learning: Clustering Supervised machine learning: neural networks, random forests, regression techniques.
Current research interests:
- Inference of stochastic propagation rules using fire data. - Exploration of uncertainty propagation in fire simulations from modeling with uncertainties in the input variables in operational fire models. - Use of evolutionary algorithms for the optimization of the design of sensor networks as early fire detection systems.
Gómez, J.L., Cantizano, A., Caro, R., Castro, M., Leveraging national forestry data repositories to advocate wildfire modeling towards simulation-driven risk assessment. Ecological Indicators. Vol. 158, pp. 111306-1 - 111306-15, January 2024. [Online: December 2023] 
JCR: 7,000 Q1 (2023) - SJR: 1,633 Q1 (2023) Ribeiro, T.M., D’Ambrosio, A., Domínguez Calabuig, G.J., Athanasopoulos, D., Bates, H., Riegler, C., Gassot, O., Gerig, S.B., Gómez, J.L., Huber, N., Seton, R., Magalhães, T.E.C., CARINA: a near-Earth D-type asteroid sample return mission. Acta Astronautica. Vol. 212, pp. 213 - 225, November 2023. [Online: August 2023]
JCR: 3,100 Q1 (2023); - SJR: 1,106 Q1 (2023); 
