Marco Podda
Assistant Professor at Università di Pisa
Tuscany, Italy
Summary
👤
Senior🎓
Top SchoolMarco Podda is an assistant professor and machine learning researcher with eight years of experience focused on deep learning for graphs and generative models applied to biomedical problems. Based at the Università di Pisa and Tuscany, he progressed from PhD research on clonal evolution data to a visiting scientist role in computational vaccinology at GSK, bridging academic rigor with industry-scale data science. His work combines generative modelling and graph-based methods to tackle complex biomedical datasets, with a practical eye toward translational impact. Known for blending theory and application, he brings hands-on experience in both academic research and industrial collaboration, and a track record of turning biological questions into machine learning solutions.
9 years of coding experience
2 years of employment as a software developer
Laurea triennale, Informatica, 99, Laurea triennale, Informatica, 99 at Università degli Studi di CagliariLaurea Specialistica, Informatica, 104/110, Laurea Specialistica, Informatica, 104/110 at Università di Pisa
Italian, English, French, Spanish
Github Skills (19)
generative-model9
graph-neural-network8
grapher8
pytorch7
artificial-intelligence7
machine-learning7
ai7
graph-convolutional-networks7
classification7
python7
deep-learning6
graph6
geometric-deep-learning6
data-science6
pretrain5
Programming languages (2)
Github contributions (5)
marcopodda/phd-thesis
Dec 2020 - May 2021
Contributions:36 commits in 5 months
marcopodda/grapher
Apr 2021 - Mar 2023
Contributions:257 pushes, 1 branch, 2 comments in 1 year 11 months
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