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Llamocca Portella, Pavel Harold
Quantitative Methods
PhD: Universidad Complutense de Madrid
BIO
Professor Llamocca is a Computer Engineer with more than 10 years’ experience in consulting, working as an IT Specialist and providing services in several companies in the financial industry, especially Banco Santander, where he has contributed, as part of Santander’s IT team, to various international projects including the Santander London Branch or GBO Poland. At the same time, his interest in research led him to pursue an Official Master’s Degree at Universidad Complutense de Madrid, specializing in Smart Cities, Open Data and Open Government. He also earned a PhD in Computer Science from the same university, with a thesis that focused on the application of machine-learning techniques on data from patients diagnosed with bipolar disorder to predict crises of euphoria or depression.
Education
PhD in Computer Science, Universidad Complutense de Madrid (2022)
MRes in Computer Science, Universidad Complutense de Madrid (2016)
Bachelor in Computer Engineering, Universidad Peruana Cayetano Heredia (2006)
Research Interests
Potential applications of new technologies to research to increase the impact of research results.
Career
Functional Analyst, Neoris (in projects for Banco Santander), November 2018–Present
Functional Analyst, Ibermática (in projects for the Ministry of Economy), July 2017–November 2018
Systems Analyst, Innova TSN (in projects for Caixa Bank), March 2016–May 2017
Systems Analyst, Coritel (in projects for Banco Santander), December 2007–March 2016
Publications in Scientific Journals
Llamocca, Pavel; López, Victoria; Cukic, Milena: “The Proposition for Bipolar Depression Forecasting Based on Wearable Data Collection”, Frontiers in Physiology, 1225, Art. 777137, 2022.
Llamocca, Pavel; López, Victoria; Santos, Matilde: “Weighted dependence of the day of the week in patients with emotional disorders. A mathematical model”, 2021 IEEE International Conference on Progress in Informatics and Computing, IEEE, 2021.
Llamocca, Pavel; Urgeles, Diego; Cukic, Milena; López, Victoria: “Some advances in mood disorders data analysis”, 1st International Alan Turing Conference on Decision Support and Recommender Systems, 2020.
Llamocca, Pavel; Junestrand, Axel; Cukic, Milena; Urgeles, Diego; López, Victoria: “Data source analysis in mood disorder research”, CAEPIA, 2018.
Otros profesores
