Biography

With over 15 years of experience in Machine Learning, Signal Processing, and AI, I bring a combination of academic insight and practical industry expertise. I specialize in building intelligent information systems, applying Natural Language Processing, and leveraging modern data technologies to transform complex data into actionable insights.

I currently serve as a Senior Data Scientist and AI Engineer at Plain Concepts, delivering tailored AI solutions for diverse clients. At the same time, I teach Machine Learning at Universidad San Jorge, connecting academic principles with hands-on industry experience to equip students with the skills needed in the AI landscape.

Earlier, I was Lead Machine Learning Engineer at NTT DATA with roles such as coordinating the team responsible for the AI components of Knowler, a smart knowledge management system, or Research Engineer in the Global Generative AI office. My academic career includes a Ph.D. on signal and data processing, postdoctoral research at I3A (Instituto de Investigacion en Ingenieria de Aragon) on biomedical signal modeling, and lecturing courses in Data Processing, Image Processing, and Signals and Systems at both undergraduate and graduate levels.

1. Complex interaction between low-frequency APD oscillations and beat-to-beat APD variability in humans is governed by the sympathetic nervous system

   Frontiers in Physiology (2020)

   Scholar

2. In Silico Characterization of Repolarization Duration and Variability in the Long QT1 Syndrome Under beta-Adrenergic Stimulation

   2020 Computing in Cardiology (2020)

   Scholar

3. Adaptive Diffusion Schemes for Heterogeneous Networks

   IEEE Transactions on Signal Processing (2017)

   Scholar

4. A probabilistic least-mean-squares filter

   2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2015)

   Scholar