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 (17)
sublime-text10
latex10
sublime-text-plugin10
vim-plugin9
filetype9
tex9
neovim9
vim8
predictive7
telegram4
cli4
remote-control4
machine-learning3
chrome-extension1
ubuntu1
Programming languages (8)
Github contributions (5)
emanuelealiverti/arxiv_rss
Apr 2024 - Jul 2026
Contributions:395 pushes, 3 branches in 2 years 3 months
emanuelealiverti/svilf
Jun 2020 - May 2022
Contributions:8 commits, 1 push in 1 year 10 months
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