José Luis Roda García

José Luis Roda García serves as an Associate Professor in the Department of Computer Engineering and Systems at the University of La Laguna, Spain. His academic work centers on the Area of Computer Languages and Systems, with active involvement in the PhD Program in Industrial Engineering, Informatics, and Environmental. Institutional correspondence is managed through jlroda@ull.edu.es.

Education:

• PhD in Computer Science from the University of La Laguna (1998) with thesis "Nuevos modelos de predicción en computación paralela" (New Prediction Models in Parallel Computing), supervised by Dr. Casiano Rodríguez León.

His research program demonstrates exceptional interdisciplinary breadth while maintaining core focus in computational disciplines. Primary expertise includes Data Science applications for public safety (e.g., R-based analysis of Canarian emergency services data), Bioinformatics tool development (notably Dockerized platforms like NanoDJ for genome assembly), and Software Engineering for scalable data infrastructure. His work consistently bridges theoretical computer science with practical implementations in medical informatics, astronomy, and social sciences, reflecting a commitment to solving real-world problems through computational innovation.

Analysis of his recent publications (2021-2025) reveals three dominant trajectories: 1) Emergency management systems using data science techniques, 2) Reproducible bioinformatics workflows via containerization, and 3) Cross-disciplinary collaborations in astronomy instrumentation and medical diagnostics. This pattern highlights his role as a computational enabler across diverse scientific domains rather than a domain-specific specialist.

Scientific awards:

• No major awards, fellowships, or honors are documented in available sources.

Advising and grants:

• No specific doctoral students or postdoctoral researchers are listed in public records.
• Project involvement suggests participation in EU-funded initiatives like ERASMUS environmental programs and Canarian public data projects, though explicit grant details remain unspecified.