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 currently a tenure-track Assistant Professor in Statistics at the Department of Computer & Mathematical Sciences,
University of Toronto Scarborough, and the Department of Statistical Sciences, University of Toronto (since September 2025).
Previously, I was a Postdoctoral Fellow in the same department, working with Daniel Roy. Before joining the UofT,
I was a Postdoctoral researcher at BIDSA, Bocconi University (Milan, Italy), mentored by Botond Szabó.
I completed my PhD in Statistics at Sorbonne Université (Paris, France), where I worked in the
LPSM lab under the supervision of Ismaël Castillo.
My PhD manuscript can be found
here.
I am/have been a member of the following projects:
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