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Llamocca Portella, Pavel Harold
PhD: Universidad Complutense de Madrid
Biography
Pavel Harold is Lecturer in the Department of Quantitative Methods at CUNEF Universidad. He holds a PhD in Computer Engineering from UCM and since 2023 he coordinates the Specialization Program in Business Analytics at CUNEF Universidad. He has supervised several Master's Theses and lead research projects as Principal Investigator, including the ACERTA project within the Computational-Intelligence group. His research focuses on applying Machine Learning techniques to mental health, particularly for the personalized prediction of emotional crises. He has published in peer-reviewed journals, presented at international conferences, and actively collaborates with interdisciplinary academic networks.
Education
PhD in Computer Engineering, Universidad Complutense de Madrid, 2022
Master's Degree in Computer Science Research, Universidad Complutense de Madrid, 2018
Bachelor's Degree in Computer Engineering, Universidad Peruana Cayetano Heredia, 2007
Research Interests
Machine learning, data science, digital mental health, personalized medicine, and predictive analytics.
Professional Career
Functional Analyst, Neoris (Santander SBGM), November 2018 - July 2023
Functional Analyst, Ibermática (Ministry of Economy), July 2017 - November 2018
Systems Analyst, INNOVA TSN (CaixaBank), March 2016 - May 2017
Systems Analyst, Coritel (Isban - Santander Bank), December 2007 - March 2016
Corporate Trainer in R-ORE, INNOVA TSN (CaixaBank), March 2016 - May 2017