Summary
Andrea Palladino is a Senior Data Scientist with a PhD in Astroparticle Physics and six years of industry experience applying machine learning, epidemiological modelling, and Python-based data science to healthcare and vaccine research. At GSK he develops NLP for genome sequences, unsupervised methods for immunological data, and epidemiological models to evaluate vaccines' impact on antimicrobial resistance, while holding a managerial "Quadro" qualification. Previously he advanced federated learning for privacy-preserving neural networks at Apheris and contributed to COVID-19 forecasting for Covstat.it, bringing both research rigor and production-minded ML engineering. Trained in both rigorous physics research—authoring 20+ peer-reviewed papers—and formal music performance, he combines analytical depth, coding fluency (Keras/TensorFlow, scikit-learn, pandas) and a creative, interdisciplinary perspective.
6 years of coding experience
4 years of employment as a software developer
Data Scientist, Data Scientist with Python Track, Data Scientist, Data Scientist with Python Track at DataCamp
Conservatorio "L.Perosi" di Campobasso
Erasmus project, Piano and chamber music, Erasmus project, Piano and chamber music at Hochschule für Musik, Theater und Medien Hannover
Doctor of Philosophy - PhD, Astroparticle Physics, Cum laude, Doctor of Philosophy - PhD, Astroparticle Physics, Cum laude at GSSI - Gran Sasso Science Institute
Bachelor of Science - BS, Physics, 103/110, Bachelor of Science - BS, Physics, 103/110 at Università degli Studi dell'Aquila
Italian, English, German