CAMERLENGHI FEDERICO
- U07, Piano: 2, Stanza: 2032
Ricevimento: giovedì pomeriggio su appuntamento.
Biografia
CURRENT POSITION:
- November 2019-today: Assistant Professor (RTDb), Department of Economics, Management and Statistics, University of Milano-Bicocca, Milano, Italy.
OTHER AFFILIATIONS:
- December 2016-today: Affiliate, BIDSA (Bocconi Institute for Data Science and Analytics), Bocconi University, Milano, Italy.
- July 2014-today: Affiliate, De Castro statistics initiative, Collegio Carlo Alberto, Moncalieri (TO), Italy.
SHORT BIO:
- January 2018-October 2019: Assistant Professor (RTDa), Department of Economics, Management and Statistics, University of Milano-Bicocca, Milano, Italy.
- January 2017-December 2017: Postdoctoral fellow, Department of Statistical Sciences, University of Bologna, Bologna, Italy.
- January 2016-December 2016: Postdoctoral fellow, Department of Decision Sciences, Bocconi University, Milano, Italy.
- November 2012-November 2015: Ph.D. in Matematics and Statistics, University of Pavia, Pavia, Italy.
- October 2010-September 2012: Master of Science in Mathematics, University of Milano, Milano, Italy.
- October 2007-September 2010: Bachelor of Science in Mathematics, University of Modena and Reggio Emilia, Modena, Italy.
AWARDS:
- 2022: Early Career Scholar Award for Contributions to Statistics, Italian Statistical Society.
- 2019: Premio giovani talenti 2019, University of Milano-Bicocca.
- 2019: Co-investigator, European Research Council (ERC) project (2019-2024). Research team: F. Camerlenghi, E. Dolera, S. Favaro (PI).
- 2017: Savage award in Theory and Methods, International Society for Bayesian Analysis.
- 2016: Award for the Best Ph.D. thesis in Statistics, Italian Statistical Society.
RESEARCH INTERESTS:
Bayesian nonparametrics; Completely random measures; MCMC methods; Mixture models; Point processes; Species sampling problmes; Survival analysis; Stochastic geometry.
Pubblicazioni
Cogo, R., Camerlenghi, F., Rigon, T. (2023). Hierarchical processes in survival analysis. In Book of Short Papers of the Italian Statistical Society 2023 (pp.333-338). Dettaglio
Camerlenghi, F., Corradin, R., Ongaro, A. (2023). Contaminated Gibbs-Type Priors. BAYESIAN ANALYSIS, 1-30 [10.1214/22-BA1358]. Dettaglio
Denti, F., Camerlenghi, F., Guindani, M., Mira, A. (2023). A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 118(541), 405-416 [10.1080/01621459.2021.1933499]. Dettaglio
Denti, F., Camerlenghi, F., Guindani, M., Mira, A. (2022). Clustering artists based on the energy distributions of their songs on Spotify via the Common Atoms Model
Clustering di artisti in base alla distribuzione dell’energia delle loro canzoni su Spotify con il Common Atom Model. In Book of Short Papers SIS 2022 (pp.121-126). DettaglioMasoero, L., Camerlenghi, F., Favaro, S., Broderick, T. (2022). More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics. BIOMETRIKA, 109(1), 17-32 [10.1093/biomet/asab012]. Dettaglio
Progetti di ricerca
Premi e responsabilità scientifiche
Premi
- Premio a Giovani Studiosi e Studiose per Contributi alle Discipline Statistiche, Società Italiana di Statistica, 2022
- Premio Giovani Talenti dell'Università di Milano-Bicocca, Università degli Studi di Milano-Bicocca con il patrocinio dell'Accademia dei Lincei, 2019
- Premio Società Italiana di Statistica per la migliore tesi di dottorato in Statistica, Società Italiana di Statistica, 2016
- Savage Award in Theory & Methods, American Statistical Association, International Society of Bayesian Analysis and NBER-NSF, 2016
Incarichi di insegnamento o ricerca
- Ricercatore universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2019 - 2022
- Ricercatore universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2018 - 2019