Miguel Claramunt is a Research Engineer with a decade of experience bridging AI research and data-driven engineering, currently advancing machine translation at the Barcelona Supercomputing Center. He combines academic rigour from MSc studies in Intelligent Interactive Systems with hands-on data science and systems work, from large-scale NLP experiments to building high-traffic analytics apps. Miguel has repeatedly translated research into production impact—optimizing customer service infrastructure that handled thousands of tickets monthly and maintaining a Qlik Sense app serving 40K+ daily users. His background in systems biology modeling and simulations adds a quantitative modeling lens that complements his ML and NLP expertise. Comfortable tutoring and mentoring students, he also brings a practical mindset for cost and workflow optimizations that have delivered measurable savings.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Intelligent Interactive Systems, Master of Science - MS, Intelligent Interactive Systems at Universitat Pompeu Fabra - Barcelona
Bachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at Universitat de València
Spanish Baccalaureate, PHYSICAL SCIENCES, Spanish Baccalaureate, PHYSICAL SCIENCES at IES Pere Boïl
Diploma Programme, PHYSICAL SCIENCES, Diploma Programme, PHYSICAL SCIENCES at International Baccalaureate
Bachelor of Science - BS, Mathematical Engineering in Data Science, Bachelor of Science - BS, Mathematical Engineering in Data Science at Universitat Pompeu Fabra
PhysiCell: Scientist end users should use latest release! Developers please fork the development branch and submit PRs to the dev branch. Thanks!
Contributions:1 review, 48 commits, 3 PRs in 2 years 8 months
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