Hi, I'm Fran.
Computer scientist, researcher in progress, cyclist, and builder of practical systems.
From the south of Spain, in my opinion one of the best places in Europe and in the world to live.
My Story
I studied Computer Science at the University of Malaga, and I am currently planning to keep moving forward in my academic career, most likely in artificial intelligence research, especially focused on how to apply it to real-life problems.
I would love to solve medical, environmental, social, and space exploration problems, and make my knowledge in this field create meaningful impact through practical application.
In the future, I would really like to complete a PhD in Computer Science. I know I will keep having more and more hunger for knowledge, and that this will eventually lead me there.
Before all this, I wanted to become a biologist. I was deeply curious about how life works and about all the processes that took us from molecules to thinking machines.
I also love aeronautics, space, the cosmos, physics, and everything related to those worlds.
At the same time, I love my own field: computer science. I enjoy seeing how, with creativity and engineering, you can use a machine that, with the right instructions, can solve problems, or fail to solve them. That is also part of what makes it beautiful: understanding what a machine can do, pushing it to its limits, and learning enough to make it work with you.
This is also why I love using computer science as a tool in my day-to-day life, in my personal projects, and at work. It fascinates me that, thanks to an algorithm, I can estimate a value that helps me make decisions, or that with data structures and well-defined processes, teams of thousands of people can produce data to understand and set goals in a company.
All of this naturally leads to my interest in artificial intelligence, from what people now call "not really intelligence" (like regression or binary trees), to learning models, neural networks, and thinking machines capable of solving problems we did not even know were problems.
I am also a cyclist. I started by chance, and now cycling takes up most of my time. I always try to improve. I am not a professional, but I love seeing progress and I genuinely enjoy every part of it.
In my free time, besides cycling, I also enjoy researching fields I already know a bit about, and yes, that means cycling and computer science again.
I recently wrote a scientific paper on my own, something I never imagined I would do. It took me almost a year and a lot of learning, but I achieved strong results and contributions that, in my view, fill a real academic gap where there was almost nothing.
That first paper is about predicting how long it will take me to complete a cycling race based on the route and my fitness, trained with multiple years of data from when I started training until today. The model now runs on my own machine, training and learning every day.
I am now publishing another one, again related to sport, but this time more focused on nutrition. I am not an expert, but I like to learn and do things properly. This paper proposes a combined linear programming and goal programming approach in a new framework to calculate what foods to eat, and in what quantities, to hit target macros and calories without overshooting and without going hungry.
Current Focus
- Applied AI research: methods that move from theory to useful outcomes in the real world.
- Endurance data systems: personal performance modeling, prediction, and practical decision support.
- Nutrition optimization: mathematically grounded meal planning with realistic constraints.
Research
I currently maintain two active paper pages with summaries and links: