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Thibault Randrianarisoa

I am a tenure-track Assistant Professor in Statistics at the University of Toronto.

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