Summary
Edgar M is a PhD computer scientist based in Madrid with 12 years of experience optimizing machine-learning algorithms through parallel computing technologies such as GPU, Grid, and MPI. His doctoral research applied classification and clustering methods to high-dimensional gene-expression data, but his expertise translates to Big Data and scientific computing across domains. He combines strong academic research skills—scientific publication and interdisciplinary collaboration—with practical software development and web-service delivery for non-HPC users. Autodidactic and patient, he has also taught computing to diverse age groups and provided computer/network support in industry, evidencing both technical breadth and effective communication. Edgar is particularly interested in innovation projects that extract knowledge from large, complex datasets, contributing from his specialty in parallel computing to make advanced analytics practical and scalable.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Excellent, Doctor of Philosophy - PhD, Computer Science, Excellent at Facultad de Informática (Universidad Complutense de Madrid)
Spanish, English, French