Emanuele Aliverti
Associate Professor
Padua, Veneto, Italy
Summary
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Senior🎓
Top SchoolEmanuele Aliverti is an Associate Professor of Statistics at the University of Padova with nine years of experience bridging statistical theory and data science for life sciences, social sciences and business. He develops flexible Bayesian methods and scalable algorithms to model high-dimensional structured data—networks, large contingency tables and functional data—prioritizing interpretability and computational tractability. He teaches and has built courses across data mining, functional data analysis and applied statistics for biology, reflecting a strong applied bent alongside rigorous research. His trajectory includes visiting research at Duke and a PhD from Padova, and he often translates methodological advances into practical tools for real-world, messy datasets. A sociologist by undergraduate training, he brings interdisciplinary insight into how complex social and biological systems generate data.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Università degli Studi di PadovaBachelor’s Degree, Sociology, Bachelor’s Degree, Sociology at Università degli Studi di Milano-Bicocca
Italian, English
Github Skills (29)
sublime-text10
sublime10
textmate10
filetype10
latex10
tex10
sublime-text-plugin10
vim-plugin9
neovim9
neovim-plugin8
vim8
quarto8
legend8
predictive6
telegram-bot5
Programming languages (7)
Github contributions (5)
emanuelealiverti/arxiv_rss
Apr 2024 - Apr 2025
Contributions:284 pushes, 3 branches in 11 months
emanuelealiverti/dotfiles
Jan 2019 - Feb 2025
Contributions:19 pushes, 3 branches in 6 years 2 months
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