Summary
Ángel Vico is a tenured computer science professor and PhD researcher specializing in data science, with 11 years of experience applying evolutionary algorithms to extract emerging patterns from Big Data and data streams. Based in Andalusia, Spain, he combines academic rigor—PhD with Cum Laude and an active Google Scholar profile—with hands-on engineering using Scala, Apache Spark and Hadoop. He has advanced from PhD student to Profesor Titular at the Universidad de Jaén while also directing R&D projects at GlossoAI, bridging research and applied innovation. His contributions include an R package for descriptive rule learning (SDR) published on CRAN and a track record of building back-end tools and maintaining research computing infrastructure. Colleagues describe him as a researcher-engineer who turns theoretical pattern-mining ideas into scalable implementations for streaming and distributed environments.
11 years of coding experience
Master Universitario Oficial en Ciencia de Datos e Ingeniería de Computadores, 8,927 (en escala 0 - 10), Master Universitario Oficial en Ciencia de Datos e Ingeniería de Computadores, 8,927 (en escala 0 - 10) at Universidad de Granada
Doctor en Tecnologías de la Información y la Telecomunicación. Mención Internacional, Information Technology, Sobresaliente Cum Laude, Doctor en Tecnologías de la Información y la Telecomunicación. Mención Internacional, Information Technology, Sobresaliente Cum Laude at Universidad de Jaén
Spanish, English