Summary
Simon Arias is a computational engineer and postdoctoral researcher with a Ph.D. in Bioinformatics and nine years of experience applying HPC, deep learning, and software engineering to large-scale genomic problems. He specializes in transposable element bioinformatics, developing performant pipelines and ML models that accelerate detection in large plant genomes. Based in Barcelona, he balances research roles at the Barcelona Supercomputing Center and universities while mentoring master's students in AI-driven bioinformatics. His background spans hands-on HPC service leadership and industrial AI engineering, giving him rare fluency across production systems, research code, and teaching. Notably, he has translated deep learning prototypes into scalable tools for genome analysis during international collaborations, blending methodological rigor with practical deployment.
9 years of coding experience
7 years of employment as a software developer
Specialization in deep learning, Artificial intelligence, Specialization in deep learning, Artificial intelligence at deeplearning.ia
University of California, San Diego
Ph.D. in Engineering, Bioinformatics, Ph.D. in Engineering, Bioinformatics at Universidad de Caldas
Spanish, English, Catalan