Lorenzo Ghilotti

About me

I am currently pursuing a PhD in Statistics at University of Milano-Bicocca. Previously, I obtained a Master degree with honors in Mathematical engineering - Statistical Learning - at Politecnico di Milano.

My research interests lie in the area of Bayesian Statistics, with a particular focus on Bayesian Nonparametric (BNP) inference. Specifically, I am working on repulsive mixture models for high-dimensional data and feature sampling models via nonparametric priors.

Here, you can find my complete CV.

Research activities

• Research collaborator at USI Università della Svizzera italiana, Faculty of Economics, Institute of Computational Sciences (June 2021 - ongoing)

Teaching activities

• Teaching assistant, Statistics, Master in Finance, USI (2021 - 2022)
• Teaching assistant, Advanced Statistics, Master in Finance, USI (2021 - 2022)

Conferences

• Poster at ISBA 2022 World Meeting - Montréal, Canada.
  Title: “Bayesian clustering of high-dimensional data via latent repulsive mixtures”. Joint work with Mario Beraha and Alessandra Guglielmi
• Contributed presentation and poster at ISBA 2021 World Meeting.
  Title: “High-dimensional Bayesian clustering via anisotropic determinantal point process mixtures on latent factors”. Joint work with Mario Beraha and Alessandra Guglielmi
• Contributed presentation at BAYSM 2021.
  Title: “Bayesian clustering of high-dimensional data via latent repulsive mixtures”. Joint work with Mario Beraha and Alessandra Guglielmi

Awards

• Travel Award ISBA 2022 World Meeting in Montréal, Canada

Publications

• Ghilotti, Beraha and Guglielmi."Anisotropic determinantal point processes and their application in Bayesian mixtures". Book of Short papers SIS 2021.

Contact

• email: l.ghilotti@campus.unimib.it
• Github: LGhilotti

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';