Claudio Meggio

Doctoral Research Fellow - Statistics and Data Science
Image of Claudio Meggio
Norwegian version of this page
Room 822
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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 primarily revolves around both supervised and unsupervised machine learning. Specifically, I am keen on the explainability of these models. The main focus of my PhD research is the application of boosting algorithms to graph-structured data. Currently, I am collaborating with the Hylleraas Centre on a project that studies metal compounds.

Background

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.

Partners

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, statistics and data science, Supervised Learning

Publications

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Published Dec. 6, 2021 10:45 AM - Last modified Oct. 31, 2023 2:39 PM