Summary
Andres Villaverde is a PhD computer scientist and professor with over a decade of experience applying AI and soft computing across academia and industry, from NLP and recommender systems to fuzzy logic, expert systems and reinforcement learning. He has taught and supervised graduate research in Spain, Germany, the US, Mexico, Venezuela and Cuba while leading R&D projects that translate academic methods into commercial and startup products. Skilled in Python, MATLAB, FORTRAN, C/C++ and Prolog, he combines rigorous numerical analysis training with practical ML engineering for explainable models, parameter estimation and curve fitting. Recent work focuses on explainable AI for churn prediction and fuzzy parameter calibration, reflecting a consistent interest in interpretable, knowledge-based approaches. Notably, his research bridges computing-with-words, ontologies and semantic networks to improve real-world text understanding and behavior analysis.
10 years of coding experience
10 years of employment as a software developer
Doctor Artificial Intelligence, Doctor Artificial Intelligence at Universidad de Castilla-La Mancha
Licentiate degree Mathematics, Licentiate degree Mathematics at Universidad de La Habana
Bachelor of Mathematics Mathematics, Bachelor of Mathematics Mathematics at University of Havana
English, Spanish, German, Russian