Biography:
Alejandro Polo Molina obtained a degree in Mathematics in 2020 from the University of Granada (UGR), a Master's degree in Big Data and Advanced Analytics in 2021 from the Universidad Pontificia Comillas and a Master's degree in Big Data & Visual Analytics from the International University of La Rioja (UNIR). He has worked as Data Scientist at Repsol for time series forecasting and NLP-based recommender systems. Subsequently, he has worked as a Data Scientist consultant at Accenture in projects related to data analysis and modeling. He is currently a trainee researcher in the Intelligent Systems Area of the Institute for Research in Technology (IIT).
Areas of interest:
Deep Learning, Machine Learning, Time Series Forecasting, Graph Machine Learning
Experience:
Data Scientist Accenture (2021-2022)
Data Scientist Repsol (2020-2021)
A. Polo-Molina, D. Alfaya, J. Portela, "A Mathematical Certification for Positivity Conditions in Neural Networks With Applications to Partial Monotonicity and Trustworthy AI", IEEE Transactions on Neural Networks and Learning Systems, Vol. 37, nº. 2, pp. 981 - 996, February 2026. [Online: October 2025] doi: 10.1109/TNNLS.2025.3614431
JCR-JIF: 9,700 Q1 (2025) - SJR: 3,153 Q1 (2025) 
