Javier Arroyo Gallardo

Javier Arroyo Gallardo is an Associate Professor at the Department of Computer Science (Ciencias de la Computación) at Universidad de Alcalá (UAH), Spain. His research focuses on machine learning applications in finance, blockchain technologies, cryptocurrency analysis, and decentralized autonomous organizations (DAOs). He holds a PhD from Universidad Pontificia Comillas with a thesis on time series prediction methods.

Research Interests: His work spans predictive modeling for interval/histogram time series, credit risk assessment using machine learning, blockchain governance structures, cryptocurrency market dynamics, and open collaboration platforms. Notable contributions include developing automated correction systems for programming practices (UnitJudge) and analyzing DAO ecosystems' power dynamics.

Recent Trends in Publications: Recent work emphasizes interdisciplinary applications combining AI with financial systems, including P2P lending risk modeling, cryptocurrency portfolio optimization, and blockchain-based governance mechanisms. Over 50% of his 2020+ publications focus on blockchain-related topics.

Awards & Recognition: No specific awards mentioned, though his work has been presented at high-profile events like the International Symposium on Open Collaboration.

Grants & Advising: Advised multiple research projects on DAOs, crypto markets, and agent-based modeling. Active in collaborative frameworks with industry partners in financial technology and blockchain ecosystems.

Labs & Teams: Associated with CSRG-UAH and the Cognitive Science Research Group, focusing on computational methods applied to complex systems analysis.