معرفی
Federico Camerlenghi is a Full Professor of Statistics at the University of Milano-Bicocca's Department of Economics, Management and Statistics, with additional affiliations at Bocconi University's BIDSA institute. His research program focuses on advanced statistical methodologies spanning both theoretical and applied domains.
His core research interests include:
- Bayesian nonparametric methods and stochastic processes
- Species sampling and feature sampling problems
- Privacy-preserving techniques for disclosure risk assessment
- Survival analysis and mixture modeling
- Applications of completely random measures and point processes
Professor Camerlenghi has received significant recognition for his contributions:
- Savage Award in Theory and Methods (2017)
- Italian Statistical Society's Early Career Scholar Award (2022)
- Premio Giovani Talenti (2019)
- Best PhD Thesis in Statistics (2016)
- Co-investigator on an ERC project (2019-2024)
He serves on editorial boards for Statistical Methods & Applications and Electronic Journal of Statistics. His institutional collaborations include ongoing work with Bocconi University and previous affiliation with Collegio Carlo Alberto.
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