Education and Work experience
Education
Postdoctoral Research Fellow
2022- 2023
Statistics and Machine Learning , Department of Computer Science, University of Oxford
Research Associate
2021-2022
Spatiotemporal Statistical Machine Learning , Department of Mathematics, Imperial College London
Machine Learning Scientist
2020
Machine Learning Scientist in Investments AI, in AIG, designing algorithms to support business decisions, automating in this way some parts of the internal processes
Doctor of Philosophy:
2015-2019
Statistical Machine Learning, Department of Statistics, University of Oxford
Bayesian Nonparametric Methods with Applications in Statistical Network Modelling, within the Research Group: Computational Statistics and Machine Learning group
2018: Research Scholar at the Courant Insitute, NYU
2018: Worked at Google Zurich
2019-2020: Academic Visitor at the Alan Turing Institute, the National Institute of Data Science and Artificial Intelligence, London
MASt (Part III)
2014-2015
Master of Advanced Study in Mathematics (Part III of the Mathematical Tripos), University of Cambridge
Specialisation: Mathematical Statistics and Modern Statistical Methods.
Thesis on Statistical Neuroimaging entitled “Theoretical and Empirical Comparison of Bayesian and Frequentist Inference and Methodology for fMRI data analysis” advised by Professor John Aston