Research interests

I am mainly interested in high-dimensional and nonparametric statistics. More precisely, my research interests include statistical machine learning, Bayesian nonparametrics, uncertainty quantification and inverse problems.

Topics I have worked on include:

• Bayesian nonparametrics
• (Deep) Gaussian processes
• Tree-based methods (Random Forests, CART, Pólya Trees, BART,…)
• Uncertainty quantification
• Variational Bayes
• Inverse problems
• Differential privacy

Short Biography

I am a Postdoctoral Fellow in the Department of Computer & Mathematical Sciences at the University of Toronto at Scarborough (UTSC), working with Daniel Roy. I completed my PhD in Statistics at Sorbonne Université (Paris, France), where I worked in the LPSM lab under the supervision of Ismaël Castillo. Before joining the UoT, I was a Postdoctoral researcher at BIDSA, Bocconi University (Milan, Italy) working with Botond Szabó.

My PhD manuscript can be found here.

I am/have been a member of the following projects:

• ERC BigBayesUQ (2022-2027)
• ANR Project GAP (2021-2025)
• ANR Project BASICS (2017-2022)

My name is pronounced /tibo ʁãdʁianaʁizoa/.

Education

PhD in Statistics, Sorbonne Université
Paris, France · 2019 – 2022

StatML Master’s Degree, Université Paris-Saclay
Paris, France · 2018 – 2019

MSc in Statistics and Data Science, ENSAE, Institut Polytechnique de Paris
Paris, France · 2015 – 2019