Nicola Pezzotti is a Principal Researcher and engineering leader with 12+ years of experience turning advanced ML research into production-grade healthcare products. He led teams that won the fastMRI challenge and translated that victory into an FDA-approved Philips SmartSpeed product, and his single-cell analysis algorithms enabled discovery of previously unknown cell types published in Nature-family journals. Equally at home in startups and large industry, he has driven data science at scale—leading a 20-person team analyzing 70M+ ECGs annually—and built cross-organizational public-private labs like AI4MRI. A PhD cum laude from TU Delft, he combines deep algorithmic expertise (scalable dimensionality reduction, 3D reconstruction) with a fast-delivery, software-excellence mindset. Notably, his tSNE optimization work was productionized in TensorBoard.js and highlighted among Google AI’s top research efforts.
12 years of coding experience
10 years of employment as a software developer
Master's Degree Computer Science and Engineering, Master's Degree Computer Science and Engineering at Università degli Studi di Brescia
ITIS Castelli
Doctor of Philosophy - PhD Cum Laude Computer Science, Doctor of Philosophy - PhD Cum Laude Computer Science at Delft University of Technology
Contributions:91 commits, 79 pushes, 1 branch in 7 years 5 months
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