Matteo Gianella

I am a PhD student at the Department of Mathematics, Politecnico di Milano, under the supervision of Professor Alessandra Guglielmi.

My research interest mainly focuses on Bayesian nonparametrics and spatial models. In particular, I am currently interested in (dependent) random measures, product partition models and mixture models.

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Education

(2018 - 2021) M. Sc. in Mathematical Engineering, Politecnico di Milano
(2019 - 2020) Alta Scuola Politecnica, Politecnico di Milano / Politecnico di Torino
(2015 - 2018) B. Sc. in Mathematical Engineering, Politecnico di Milano

Research

Publications in journals

(2022) Gaussian graphical modelling for spectrometric data analysis (with L. Codazzi, A. Colombi, R. Argiento, L. Paci and A. Pini) [Computational Statistics & Data Analysis]
(2021) Understanding Social Behaviour in a Health‑Care Facility from Localization Data: A Case Study (with G. Bellini, M. Cipriano, S. Comai, N. De Angeli, J. P. Gargano, G. Goi, G. Ingrao, A. Masciadri, G. Rossi and F. Salice) [Sensors]

Conference Proceedings

(2022) A Bayesian spatio‑temporal model of PM10 pollutant in the Po Valley (with A. Guglielmi and G. Lonati) [SIS 2022]
(2021). Spatially dependent mixture models with a random number of components (with M. Beraha and A. Guglielmi) [SIS 2021]
(2020) Alzheimer’s Garden: Understanding Social Behaviors of Patients with Dementia to Improve Their Quality of Life (with G. Bellini, M. Cipriano, N. De Angeli, J. P. Gargano, G. Goi, G. Rossi, A. Masciadri and S. Comai) [ICCHP 2020]
(2020) Functional graphical model for spectrometric data analysis (with L. Codazzi, A. Colombi, R. Argiento, L. Paci and A. Pini) [SIS 2020]

Ongoing Projects

(2023) Bayesian nonparametric boundary detection for income areal data (with M. Beraha and A. Guglielmi) [arXiv]
(2022) BayesMix: Bayesian Mixture Models in C++ (with M. Beraha, B. Guindani and A. Guglielmi) [arXiv]
(202x) A consensus Monte Carlo algorithm for large spatial datasets (with F. A. Quintana and A. Guglielmi) [in preparation]
(202x) BNP spatial downscaling of COVID‑19 mortality counts (with M. Beraha and A. Guglielmi) [in preparation]

Talks and Seminars

BNP mixture models for boundary detection
(Contributed Talk) [BAYSM 2023, Nov. 2023]
BNP spatial downscaling of COVID‑19 mortality counts'
(Poster) [BNP13, Oct. 2022]
A Bayesian spatio‑temporal model of PM10 pollutant in the Po Valley
(Contributed Talk) [SIS 2022, Jun. 2022]
Reversible Jump computations for spatially dependent mixture models
(Contributed Talk) [ISBA 2021, Jul. 2021; BAYSM 2021, Sep. 2021]
Spatially dependent mixture models with a random number of components
(Contributed Talk) [SIS 2021, Jun. 2021]
Alzheimer’s Garden: Understanding Social Behaviors of Patients with Dementia to Improve Their Quality of Life
(Contributed Talk) [ICCHP 2020, Sep. 2020]