I am a data scientist who leads applied AI projects from defining the problem and preparing the data to validating models and building tools that support decisions. In maritime work, I start by learning how an operation runs and where the team faces challenges. I work with seafarers, port teams, and engineers to understand those challenges and what limits their options. From there, I shape the modelling around the decision they need to make, whether that means predicting vessel performance or testing how different choices would affect the operation. I evaluate the model against historical data and review the results with the team to check that it reflects the conditions and constraints they work with. I have used this approach to develop digital twins and energy models for port decarbonisation. Port teams can use these tools to test infrastructure choices and understand their effects on energy use and emissions.

In my PhD, I explored how AI could personalise maritime training and improve the learning experience for seafarers. I built a system in which AI agents assessed learner responses and provided feedback tailored to each person. After fine-tuning the model for maritime scenarios, I evaluated the system with seafarers to understand how they perceived the feedback and what shaped their experience of interacting with AI.

Beyond maritime operations, I have applied data science to problems in property technology and predictive medicine. At Tiko, I worked with housing and market records to build production pricing models for homes in Spain, turning property characteristics into estimates for individual properties. At BASIRA Lab, I worked with graph-structured brain-connectivity data from Alzheimer's disease and autism studies. I trained graph neural networks to classify diagnostic groups and examined which brain regions and connections had the strongest influence on their predictions. I found it fascinating to see whether different models highlighted the same regions and what those patterns might reveal about each condition. These roles gave me experience with distinct data structures and modelling questions across commercial products and academic research.

My interests include applied data science in maritime, energy, infrastructure, and logistics, with a focus on complex operational data and physical systems.