Giulia Lanzillotta
Doctoral Fellow at ETH AI Center
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolGiulia Lanzillotta is a Doctoral Fellow at the ETH AI Center with nine years of experience researching continual learning and theoretical deep learning. Her work, co-supervised by Professors Thomas Hofmann and Benjamin Grewe, bridges rigorous theory and practical Bayesian-inspired approaches to mitigate forgetting in neural networks. She has hands-on experience across top research institutes—including an internship at RIKEN and a master thesis on causal representation learning at the Max Planck Institute—bringing a strong foundation in data science and machine perception. Based in Zurich, Giulia combines academic depth with applied problem-solving, having contributed to projects ranging from NPL prediction systems to course instruction at ETH. Notably, her background in both approximate Bayesian inference and causal representation learning signals a rare blend of probabilistic thinking and causal methods aimed at making continual learning more reliable.
9 years of coding experience
100L, 100L at Liceo Scientifico Statale Vito VolterraMaster's degree, Data science, Master's degree, Data science at ETH ZürichBachelor's degree, Computer Science and Engineering, Graduated with honours, Bachelor's degree, Computer Science and Engineering, Graduated with honours at Università degli studi Roma TRE
Stackoverflow
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Github Skills (24)
python7
twitter-sentiment-analysis7
deep-learning6
machine-learning6
pytorch6
lightning6
artificial-intelligence6
lifecycle6
ai5
sentiment5
sentiment-analysis5
data-science5
classification5
twitter4
infrastructure4
Programming languages (3)
Github contributions (5)
GiuliaLanzillotta/Stats.stuff-in-R
Jul 2020 - Oct 2020
Contributions:26 commits, 3 pushes in 3 months
GiuliaLanzillotta/My-ML-exercises
Mar 2020 - Nov 2020
Contributions:109 commits, 107 pushes, 1 branch in 8 months
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