Miquel Pascual is a postdoctoral researcher and interdisciplinary data scientist with 8 years’ experience applying advanced signal-analysis and machine learning methods to drug development and clinical research. He developed and deployed a MATLAB-based SPAR analysis pipeline during his PhD to uncover novel respiratory signatures and now leads translation efforts with pharmaceutical partners to integrate SPAR into pre-clinical and clinical trial workflows. Miquel blends biomedical engineering, bioinformatics and biostatistics expertise from King's College London and Edinburgh with hands-on experience managing large clinical databases and building mobile apps for trial recruitment. He has also driven early commercial validation—running market discovery and value-proposition work with ICURe and a MedTech accelerator—to turn research prototypes into investable solutions. Based in London, he brings a rare mix of academic rigor, product-minded entrepreneurship and practical lab experience (ADME and clinical trials). Off-duty he’s a Fender Stratocaster player, hinting at a disciplined yet creative approach to problem solving.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Bioinformatics, Master of Science - MS Bioinformatics at The University of Edinburgh
Doctor of Philosophy - PhD Biomedical Engineering, Doctor of Philosophy - PhD Biomedical Engineering at King's College London
Contributions:7 PRs, 4 branches, 1 comment in 3 years 5 months
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Miquel Pascual - Postdoctoral Researcher at King's College London