CV
Education
- Ph.D in Statistics, Bocconi University, 2018
- M.Sc. in Finance, RSM Erasmus University, 2012
- B.Eng. in Engineering, Universita degli studi di Genova, 2010
Research positions
- Assistant Professor at Universitat Pompeu Fabra, January 2022- Present
- Department of Economics and Business
- Statistics Group
- Affiliated with Barcelona School of Economics (BSE)
- Postdoctoral Scholar at Stanford University, April 2018 - December 2021
- Department of Statistics
- Mentor: Prof. Julia A. Palacios
- Visiting Research Scholar at UT Austin, September 2015 - December 2017
- Department of Statistics and Data Science
- Supervisor: Prof. Stephen G. Walker
- Trainee at European Central Bank, January 2013 - December 2017
- International Policy Analysis Division
Skills
- Software: R, Python, Matlab, LaTex, Unix
- Language: Italian (mother tongue), English (fluent), Spanish (beginner), German (beginner)
Awards
Young Researchers Travel Award: Bayesian Nonparametrics @ Oxford 2019
Best Student Paper Prize, ASA Section on Bayesian Statistical Science (SBSS): JSM 2018
Best Poster Award: Bayesian Nonparametrics @ Paris 2017
Research Unit 1735 scholarship: Machine Learning Spring PhD School, Sylt, Germany, March 2015
Bocconi Full Ph.D. Scholarship: September 2013
Invited Presentations
- EcoSta 2017
Recursive Nonparametric Predictive for a Discrete Regression Model
- BISP 2019
Bayesian Nonparametric Inference of Population Trajectories via Tajima Heterochronous Coalescent.
- Stanford University, Department of Genetics, Pritchard Lab 2020
Tajima Heterochronous n-Coalescent.
- JSM 2021
Adaptive Preferential Sampling in Phylodynamics.
Contributed Presentations
- Universita Commerciale Luigi Bocconi 2016
Some Recursive Procedures in Multidimensional Settings (PhD 3rd year presentation)
- ISBA 2016 (Poster)
A Recursive Multivariate Inversion of a Laplace Transform for Probability Distributions
- BAYSM 2016 (Poster)
A Recursive Multivariate Inversion of a Laplace Transform for Probability Distributions
- BISP 2017 (Poster)
On Some Properties of ``Bayesian” Recursive Procedures
- BNP 2017 (Poster)
Recursive Nonparametric Predictive for a Discrete Regression Model
- JSM 2018
Recursive Nonparametric Predictive for a Discrete Regression Model
- ProbGen 2018 (Poster)
Sequential Importance Sampling Algorithms for Multi-Resolution Kingman-Tajima Coalescent Counting.
- BNP 2019
Bayesian Nonparametric Inference of Population Trajectories via Tajima Heterochronous Coalescent.
- Stanford University 2019, Department of Biomedica Data Science (Poster)
Tajima Heterochronous $n$-Coalescent.
Publications
See the dedicated page