I am a postdoctoral researcher in Statistics at University of Milano-Bicocca. I’m working on Bayesian nonparametrics under the supervision of Federico Camerlenghi.

I recently obtained a PhD in Statistics and Computer Science at Bocconi University, under the supervision of Antonio Lijoi and Igor Prünster.

I’m also a member of the Bayesian Learning Laboratory (Bayes Lab) at Bocconi University.

Academic Positions

• Postdoctoral researcher, Università degli Studi di Milano–Bicocca, 11/2024-present.
  Supervisor: Prof. Federico Camerlenghi.

Education

• Ph.D. in Statistics and Computer Science, Bocconi University, 9/2020-1/2025.
  Advisors: Prof. Antonio Lijoi and Prof. Igor Prünster.
  Thesis title: Contributions to dependent processes in Bayesian nonparametrics.
• M.Sc. in Mathematical Engineering, Politecnico di Torino, 9/2018-10/2020.
  Advisors: Prof. Paola Siri and Prof. Enrico Bibbona.
  Thesis title: Stochastic models of Chemical Reaction Networks: multiscale approximations and convergence.
• Alta Scuola Politecnica, Politecnico di Torino & Politecnico di Milano, 2/2019-10/2020.
  Honors Program.
• Exchange Program (Erasmus+) in Applied Mathematics, EPFL, Fall 2019.
• B.Sc. in Mathematics for Engineering, Politecnico di Torino, 9/2015-10/2018.

Publications

Papers in peer-reviewed journals

• A Unified Approach to Hierarchical Random Measures.
  M. Catalano, C. Del Sole, A. Lijoi, I. Prünster (2024).
  D. Basu Centennial Volume, Sankhya A, 86(S1), 255-287. [link] [pdf]

Conference proceedings

• A Note on the Dependence Structure of Hierarchical Random Measures.
  M. Catalano, C. Del Sole (2023). In Bayesian Statistics, New Generations New Approaches, Springer Proceedings in Mathematics and Statistics, Vol. 435, 77-85. [link] [pdf]

Preprints and working papers

• Principled estimation and prediction with competing risks: a Bayesian nonparametric approach.
  C. Del Sole, A. Lijoi, I. Prünster (2024+). Submitted

Awards and Funding

• Special financial support, Bocconi University, 2024.
• Ph.D. Scholarship, Bocconi University, 2020-2024.
• Alta Scuola Politecnica, Politecnico di Torino, 2018-2020.
  Merit-based tuition waiver.
• Percorso per Giovani Talenti, Politecnico di Torino, 2015-2018.
  Merit-based partial tuition waiver.

Travel award

• 14th International Conference on Bayesian Nonparametrics, June 2025, Los Angeles, USA.
• 3rd BNP Networking Workshop, July 2024, Singapore.

Presentations & Conferences

Invited Presentations

• International Conference on Recent Developments in the Techniques of Bayesian Paradigm, January 2025, Varanasi, India.
• ISBA World Meeting, July 2024, Venice, Italy.
• 4th Italian Meeting on Probability and Mathematical Statistics, June 2024, Rome, Italy.
• EcoSta 2023, 6th International Conference on Econometrics and Statistics, August 2023, Tokyo, Japan.

Contributed Presentations

• BNP 14, 14th International Conference on Bayesian Nonparametrics, June 2025, Los Angeles, USA.
• 3rd BNP Networking Workshop, July 2024, Singapore.
• Bayes at CIRM, Autumn School in Bayesian Statistics, October 2023, Marseille, France.

Posters

• SAfJR 2025, 10th Survival Analysis for Junior Researchers Conference, March 2025, Bonn, Germany.
• BAYSM 2024 Bayesian Young Statisticians Meeting, June 2024, Venice, Italy.
• StaTalk 2024, May 2024, Florence, Italy. Winner of the Honorable Mention
• Workshop on Approximation Methods in Bayesian Analysis, June 2023, Marseille, France.

Conference participations

• Residential Research Program on Interpretable Inference via Principled BNP Approaches in Biomedical Research and Beyond, July 2024, Singapore.
• Workshop on Theory for Scalable, Modern Statistical Methods, April 2023, Milan, Italy.
• BNP 13, 13th International Conference on Bayesian Nonparametric, October 2022, Puerto Varas, Chile.
• 2nd BNP Networking Workshop, April 2022, Nicosia, Cyprus.

Teaching Experience

Bocconi University

• Mathematical Statistics, Teaching Assistant, Fall 2021-2022-2023.
• Advanced Statistics for Economics and Social Sciences, Teaching Assistant, Fall 2023-2024.
• Machine Learning II, Teaching Assistant, Fall 2023-2024.
• Advanced Statistical Methods, Teaching Assistant, Fall 2024.
• Fundamentals of Business Analytics, Teaching Assistant, Fall 2022-2023-2024.
• Mathematical Analysis II, Teaching Assistant, Spring 2022-2023-2024.
• Mathematical Methods in Computer Science, Teaching Assistant, Fall 2023-2024.
• Elements of Real and Complex Analysis, Teaching Assistant, Spring 2023.

Politecnico di Torino

• Mathematical Methods for Engineering, Instructor, Spring 2023.
• Mathematical Methods for Engineering, Academic Tutor, Spring 2019.
• Probability and Statistics, Academic Tutor, Fall 2018.