Daniel Madrid
Engineering Manager at IDBS
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolDaniel Madrid is an engineering manager and former principal AI engineer with 12 years of experience applying data science, machine learning and bioinformatics to domains like genomics, proteomics, diagnostics and bioprocessing. He holds a PhD in bioinformatics and has moved from developing omics analysis tools and high-performance NGS pipelines to leading AI teams focused on LLMs and applied ML in enterprise products. At PerkinElmer and IDBS he combined hands-on model development (UNet, LSTM, PCA/PLS) with managing hybrid GPU/cloud infrastructure and mentoring small cross-functional teams. Comfortable both in research and product engineering, he has built web tools for gene-editing design and production analytics platforms, showing a knack for turning complex biological data into usable software. Based in Madrid, he pairs academic rigor with pragmatic delivery, often bridging lab-born problems and scalable AI solutions.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at Facultad de Informática (Universidad Complutense de Madrid)
Spanish, English
Github Skills (7)
nmf7
react3
javascript2
python1
genetic-algorithm1
genetic1
drawing1
Programming languages (2)
Github contributions (5)
danieloop/tesis
Jan 2017 - Jan 2017
Contributions:8 pushes, 1 branch in 1 day
biocompwebs/3dbionotes
Oct 2015 - Oct 2015
Contributions:1 push, 1 branch in 5 days
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