Summary
Ignacio Arroyo-fernández is a research professor and NLP/ML specialist with 11 years of experience focused on modeling and reasoning about semantic structures and human knowledge. Based in Mexico and a member of Mexico’s System of National Researchers (SNI), he applies natural language processing and statistical modeling to interdisciplinary problems spanning finance, genomics, and the UN Sustainable Development Goals. His background includes industry-facing data science roles in fraud detection and genomic regulatory network analysis, giving him practical experience translating research into applied analytics. Holding a PhD in Computer Science from UNAM, he combines rigorous academic methodology with hands-on problem solving and teaching at Universidad Tecnológica de la Mixteca. Notably, he blends semantic modeling with domain-driven applications, making him adept at turning theoretical representations of knowledge into actionable insights.
11 years of coding experience
1 year of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Master of Science (MSc), Electronics and Applied intelligent systems, Master of Science (MSc), Electronics and Applied intelligent systems at Universidad Tecnológica de la Mixteca
English