Francisco Javier Gual Navarro
Data scientist with industry and research experience
Dubai, United Arab Emirates
Summary
Bridges industry and academic research: he has experience as a data scientist in commercial settings (BCG, Emirates) while also contributing to academic research and conference work as a visiting student/researcher. designsafe-ci+1
Technical focus on probabilistic/statistical modeling and surrogate methods: undergraduate and graduate projects and publications center on Probabilistic Learning on Manifolds (PLoM), Bayesian hierarchical modeling, and surrogate modeling for complex systems. upc+2
Educated in civil engineering and mathematics at Universitat Politècnica de Catalunya, completing both bachelor-level degrees and a master’s degree with thesis work accessible in the UPC repository. upc+2
International research engagement: visiting-student/researcher roles and conference participation (AGU Fall Meeting, SimCenter/USNCCM engagement, CU Boulder seminar) demonstrate cross-institution collaboration. confex+2
Work
Education
Projects
Writing
Spatial and Temporal Bayesian Hierarchical Model Over Large Domains With Application to Holocene Sea Surface Temperature Reconstruction in the Equatorial Pacific
January 1, 2024Contributed to a paper presenting a space-time Bayesian hierarchical model applied to Holocene sea-surface-temperature reconstruction over large spatial domains.
Surrogate modeling of structural seismic response using probabilistic learning on manifolds
January 1, 2023Co-authored paper describing use of Probabilistic Learning on Manifolds (PLoM) to produce efficient surrogate models for probabilistic estimation of high-dimensional nonlinear structural systems; linked to SimCenter tools EE-UQ and quoFEM.
TREBALL FINAL DE MÀSTER
January 1, 2022Master's final project (TFM) completed under Balaji Rajagopalan at UPC; thesis material available in the UPC repository (covers statistical modeling relevant to paleoclimate/sea-surface-temperature reconstruction topics noted in related works).