About me
I am a researcher whose work moves between mathematics, machine learning, signal processing, and applied data analysis.
I began with spectral graph theory and the discrete magnetic Laplacian. Since then, I have applied this structural perspective to graph representation learning, NLP, biomedical signals, and public-sector analytics. The common thread is data in which relationships between observations matter as much as the observations themselves.
- Training
- PhD in Mathematical Engineering, Universidad Carlos III de Madrid.
- Research
- Appointments and research activity across Mexico, Spain, Germany, and the UK.
- Approach
- Transparent, reproducible, and useful methods for complex structured data.
Academic service
- I review for journals including Mathematische Annalen, Analysis and Mathematical Physics, IEEE Access, Scientific Reports, and Measurement and Control.
- I have reviewed conference submissions for EMBC, ICASSP, and related engineering venues.