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Tun-AI is a Machine Learning model aimed at predicting tuna biomass under a given buoy, using echo-sounder and oceanography data.
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In this work we introduce NeoCam , an open source hardware-software platform for video-based monitoring of preterms infants in Neonatal Intensive Care Units (NICUs).
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Non-Intrusive Load Monitoring (NILM) aims to predict the status or consumption of domestic appliances in a household only by knowing the aggregated power load.
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We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15th September 2020 to 9th May 2021.
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In this study we apply Tun-AI to study the aggregation times and behavioural patterns of tuna around drifting Fish Aggregating Devices (dFADs).
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A novel Hybrid Search algorithm is introduced to address Zermelo’s Navigation Problem, demonstrating improved efficiency and real-world applicability.
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HADAD conducts a global exploration using an A* search on a hexagonal grid with higher-order neighbors, then refines the solution using a discrete Newton-Jacobi variational method.
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This paper presents statistical and machine learning analyses over a large dataset of LNG and LPG ships to improve the accuracy of early-stage vessel design.
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A transparent, scenario-based method to adjust projected life tables for temperature-related mortality, with uncertainty carried through to annuities, life insurance and reserves.
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We present Bézier Evolve and Refine Strategy (BERS), a two-stage framework that combines global evolutionary search with local variational refinement for maritime weather routing.
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Data-driven methods for appliance-level electricity monitoring from smart-meter signals, developed during PhD research at UCA Datalab.
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ML system that estimates tuna biomass from echosounder buoy and oceanographic data, developed with Satlink.
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Statistical analysis quantifying how nine categories of non-pharmaceutical interventions affected SARS-CoV-2 transmission during the second wave in Spain.
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Edge-cloud platform for contactless real-time monitoring of premature infants in neonatal ICUs, second global prize in the OpenCV AI Competition 2021.
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Mathematical optimization of maritime shipping routes using real-time weather and ocean data; developed HADAD, an algorithm achieving up to 27% fuel savings in extreme weather.
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Climate-tech startup that turns weather-routing research into software for ships. I’m the COO.
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Climate-adjusted mortality modeling and dashboard development for insurance portfolios under future climate scenarios.
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Testing Kolmogorov–Arnold Networks, neural networks whose learned functions you can read, for weather forecasting and maritime routing.
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The first open benchmark for maritime weather routing, created by IE University and RISE (Research Institutes of Sweden). Its first edition ran with the SWOPP3 workshop.
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Bachelor's course, IE University, Bachelor of Applied Mathematics, 2023
An introductory Python programming course for first-year students in Applied Mathematics. Topics include variables, data structures, functions, file I/O, and basic data visualization.
Bachelor's course, IE University, Bachelor of Applied Mathematics, 2024
Practical coding lab sessions that go with the programming courses in the Bachelor of Applied Mathematics.
Bachelor's course, IE University, Dual Degree in Philosophy, Politics, Law and Economics and Bachelor in Data and Business Analytics (PPLE-DBA), 2024
An applied time series course for PPLE-DBA students, built around structured HTML materials and real datasets.
Bachelor's course, IE University, Bachelor of Applied Mathematics, 2024
A hands-on Python course for Applied Mathematics students. Topics cover linear algebra in code, data analysis, visualization, and an introduction to machine learning. Course materials are publicly available.