Six cities, four fields, one chessboard

A chessboard at four, biochemistry at university

I learned chess at four and studied biochemistry at the Universidad Autónoma de Madrid (2010 to 2014), leaning towards nanomedicine and molecular biology. My first paper came out of those years.

Nanoscience, with a major in photophysics

An MSc at the University of Copenhagen. This is also where I wrote my first machine-learning code, in Python and R, for bioinformatics.

From scientist to engineer

I joined a Centre for Doctoral Training in Intelligent Sensing and Measurement, shared by Glasgow and Edinburgh. The first year was an MSc in Engineering, applied to photonics.

A PhD in light, oxygen and fibres

My thesis was about detecting singlet oxygen, the molecule that kills cells in photodynamic therapy, made by two-photon excitation inside hollow-core photonic crystal fibres. The experiment went through seven versions before it worked the way I wanted.

Leadership Award (University of Edinburgh, 2019) · talks at the European Society for Photobiology · Max Planck Institute for the Science of Light autumn academy

Explore the research

A short stop in Germany

Two months between the PhD and the postdoc, analysing my results and applying for postdoc positions.

Research, then industry, then AI

Two years as a postdoc at IQS (Universitat Ramon Llull) on the EU project Light4Lungs, measuring singlet oxygen inside bacteria with photodiodes and photomultipliers.

Then two years at Sensofar (optical metrology) as Key Account Manager and Product Specialist for the UK, Ireland, Italy, Poland, Australia and South-East Europe. That is where I built my first AI system for people to use: an internal assistant that answered technical questions from our documentation.

Building AI

I still work the way I learned in the lab: a hypothesis, a control, and a number at the end. Lately that means an assistant on my laptop, an agent that operates a lab bench, and a chess reviewer that checks itself against an engine.

See the projects