Pol Cuscó is a learning facilitator and bioinformatician with 12 years of experience bridging human biology, bioinformatics, and machine learning to teach AI and data science to diverse audiences. Based in Valencia, he leads university-aligned courses at Emeritus, guiding learners from statistical modeling and data visualization to applied ML and AI ethics. His PhD and research roles at CRG and VHIO produced machine learning methods for epigenomic data and robust NGS variant-calling pipelines, reflecting hands-on expertise in high-throughput biology. He pairs academic rigor with practical consulting experience from ISGlobal and oncology labs, helping translate complex analyses into reproducible workflows. Known as a “machine learning geek” on GitHub, he brings a practitioner’s perspective to pedagogy, emphasizing reproducibility and real-world applications. Colleagues value his ability to make technical concepts accessible while retaining methodological depth.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Human Biology, Bachelor of Science - BS, Human Biology at Universitat Pompeu Fabra
Contributions:7 commits, 3 PRs, 44 pushes in 4 months
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