Claudio Meggio

Doctoral Research Fellow - Statistics and Data Science
Image of Claudio Meggio
Norwegian version of this page
Room 822
Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 Oslo
Postal address Postboks 1053 Blindern 0316 Oslo
Other affiliations Faculty of Mathematics and Natural Sciences (Student)

Academic interests

My research mainly focusses on machine learning both supervised and unsupervised. In particular I am interested in explainability of the models. The main topic of my PhD are boosting algorithms applied to graph-structured data. In particular I am collaborating with Hylleraas Centre on a project studying metal compounds.


I obtained my bachelor’s degree in math at University of Trento. For my master’s degree I moved to Torino where I continued my studies in math, focusing on probability and statistics. During my period of study abroad at University of Waterloo I discovered machine learning and I decided to make it my main field of study. I graduated with a master’s thesis on the COVID-19 outbreak with Professor Andrea Pugliese. After graduation, before landing in Oslo, I joined the SALSA team at University of Bolzano..


My supervisors are Riccardo De BinJohan Pensar and David Balcells.
I am also part of CompSci group where I collaborate with Hannes Kneiding.



Tags: Machine Learning, boosting, Data Science, Supervised Learning


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Published Dec. 6, 2021 10:45 AM - Last modified Sep. 28, 2022 9:36 AM