Andrea Scarpelli
Lead Data Scientist
New York, New York, Italy
Summary
👤
Senior🎓
Top SchoolAndrea Scarpelli is a Lead Data Scientist with eight years of experience bridging particle physics research and applied ML, currently driving data science initiatives at BCG X from New York. Trained as a PhD researcher in elementary particle physics, Andrea built end-to-end pipelines and convolutional neural networks for large-scale experiments (DUNE, ICARUS) and contributed to multi-experiment reconstruction software (WireCell). He combines rigorous simulation- and data-driven methods with production-minded engineering—having implemented real-time monitoring and image-processing systems at Fermilab and Brookhaven. Passionate about applying AI to urban mobility, sustainable development, renewable energy, and health, he brings a rare mix of deep-domain scientific insight and hands-on software development. Colleagues value his collaborative problem-solving, clear communication of complex results, and habit of teaching himself new tools to turn research prototypes into operational solutions.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at Université de ParisErasmus student, Elementary Particle Physics, Erasmus student, Elementary Particle Physics at Université Paris-SaclayMaster's degree, Elementary Particle Physics, 110/110, Master's degree, Elementary Particle Physics, 110/110 at Università degli Studi di Ferrara
Italian, English, French
Stackoverflow
1reputation
0reached
0answers
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Github Skills (18)
icarus10
deconvolution10
signal-processing9
dataflow-programming9
simulation9
multithreading9
argon9
tpc9
liquid7
visualization6
git-subrepo5
data-quality4
monitoring4
monolithic3
static-analysis2
Programming languages (4)
Github contributions (5)
ascarpel/pmt_analysis
Feb 2020 - Feb 2021
Contributions:2 PRs, 47 pushes, 2 branches in 1 year
ascarpel/Analysis
Jun 2018 - Aug 2019
This repository contains all the libraries and routine in used for the data analysis of the 3x1x1 prototype at CERN
Contributions:29 pushes in 1 year 1 month
routinedata-analysispythoncerncffi
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