Summary
Alberto Galindo is a PhD fellow in Trustworthy Machine Learning at the University of Navarra with eight years of experience applying statistical and ML methods to healthcare and biomedical imaging. He combines a strong academic record—MSc in Data Science and a BSc in Statistics with excellence awards—with hands-on roles as a data scientist and lecturer at DATAI, where he develops fairness and uncertainty-aware models for clinical contexts. His background includes deep learning for cardiac imaging, cloud-based analytics, and practical support for clinical trials, giving him fluency across research, applied engineering, and teaching. An active community builder, he co-organized PyData Salamanca and TabularConf 2021, reflecting a commitment to knowledge-sharing beyond academia. Currently supported by an ANDIA grant and with a planned research stay in Sweden, he blends rigorous research with real-world deployment experience.
8 years of coding experience
UOC (Universitat Oberta de Catalunya)
Grado en Estadística Aprendizaje Automático, Grado en Estadística Aprendizaje Automático at Universidad de Salamanca
Programa de Doctorado en Ingeniería Aplicada Inteligencia artificial, Programa de Doctorado en Ingeniería Aplicada Inteligencia artificial at Tecnun - Universidad de Navarra
Spanish, English