Andrea Giovannucci
Senior Director at Bristol Myers Squibb
Seville, Andalusia, Spain
Summary
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Senior🎓
Top SchoolAndrea Giovannucci is a scientific leader blending 11 years of deep research and applied ML experience to translate neuroscience insights into practical neural prostheses and pharmaceutical R&D. Currently Scientific Associate Director at Bristol Myers Squibb, he previously led applied machine learning efforts there and held an academic appointment as Assistant Professor of Biomedical Engineering at UNC Chapel Hill. His background spans hands-on experimental neuroscience—two-photon calcium imaging and optogenetics—to building and deploying supervised and unsupervised deep networks for large biological datasets. Trained as a computer scientist with a PhD and an MSc in AI, he pairs rigorous algorithmic thinking with engineering know-how from early software roles, making him adept at shepherding projects from theory to production. Based in Seville, his career is marked by a persistent drive to tackle problems at the edge of human knowledge and to replace lost biological functions via neuro-electronic interfaces.
11 years of coding experience
14 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Universitat Autònoma de BarcelonaBS, Electronic Engineering, BS, Electronic Engineering at Politecnico di Milano
English, Italian, Spanish, French, Catalan
Stackoverflow
21reputation
846reached
1answer
0questions
Github Skills (47)
deconvolution10
visualization10
dimensionality-reduction10
matlab10
imaging10
spike10
principal-component-analysis9
driver8
algorithms8
tflearn7
gpu7
data-analysis7
scientific-visualization7
camera6
rendering-engine6
Programming languages (6)
Github contributions (5)
flatironinstitute/CaImAn
Aug 2015 - Feb 2021
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Contributions:13 releases, 1 review, 1192 commits in 5 years 7 months
deconvolutionimagingvisualizationcalcium-imagingsource-extraction
flatironinstitute/online_psp
Jul 2018 - Jul 2018
A collection of computationally efficient algorithms for online subspace learning and principal component analysis
Contributions:71 commits, 1 comment, 1 issue in 25 days
principal-component-analysis
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