Daniele Castellana
Research Fellow (RTD-A) at Università degli Studi di Firenze
Tuscany, Italy
Summary
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Senior🎓
Top SchoolDaniele Castellana is a research-focused machine learning scientist with 11 years of experience, currently a Research Fellow at the University of Florence specializing in tensor methods and their applications in ML. He holds a PhD and multiple degrees in computer science and machine learning from Università di Pisa and UCL, graduating top of his class at Pisa. His work blends deep theoretical knowledge with practical implementation, demonstrated by postdoctoral research at Pisa and a past internship building data-driven web tools at IBM Hursley. Daniele maintains an academic presence with a complete publication list on his university page and a research profile rooted in tensor algebra, suggesting a strong aptitude for high-dimensional data modeling and algorithmic innovation.
11 years of coding experience
1 year of employment as a software developer
University College LondonIndustrial Technical Institute Diploma, Computer Science, 100/100, Industrial Technical Institute Diploma, Computer Science, 100/100 at ITI Luigi dell'erbaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università di Pisa
Italian, English
Github Skills (29)
geometric-deep-learning10
pytorch10
deep-learning10
graph-neural-network10
graph-convolutional-networks10
mixture-model9
data-science7
machine-learning7
tensorflow7
python7
pytorch-geometric6
jax6
natural-language-processing6
machine-translation6
bayesian-inference5
Programming languages (2)
Github contributions (5)
danielecastellana22/torch-dpmm
Feb 2024 - Apr 2026
A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)
Contributions:1 release, 1 review, 3 PRs in 2 years 2 months
mixture-modelpytorch
danielecastellana22/exputils
Feb 2021 - Apr 2023
Contributions:26 pushes, 2 branches in 2 years 2 months
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