Andrea Aveni

I am a fifth-year PhD student in the Statistics Department at Duke University. My advisor is Sayan Mukherjee.

I am interested in Fréchet means, Gaussian fields and inferential problems on metric spaces and manifolds and, in general in data displaying interesting geometric structures.

My Erdős number is 3. I live with two cats.

Published

• Aveni A, Leonetti P (2023). Most Numbers are Normal. Mathematical Proceedings of the Cambridge Philosophical Society, 175(1), 1-11.

• Caprio M, Aveni A, Mukherjee S (2022) Concerning Three Classes of Non-Diophantine Arithmetics. Involve, 15(5), 763–774.

In Review

• Aveni A, Crippa L, Principi G (2024) Rankings Aggregation: An Axiomatic Approach.

• Aveni A, Mukherjee S (2024) Uniform Consistency of Generalized Frechet Means.

• Aveni A, Govc D, Roldán É (2024) Combinatorial Surfaces in the d-Cube.

In Preparation

• Aveni A, Mukherjee S (2024) Uniform CLTs for Generalized Frechet Means.

• Aveni A, Govc D, Roldán É (2024) Combinatorial Surfaces in Regular Polytopes.

• 2025 PhD in Statistical Sciences, Duke University, Durham (USA).

• 2025 Concurrent Master's Degree in Mathematics, Duke University, Durham (USA).

• 2023 PhD Candidate in Statistical Sciences, Duke University, Durham (USA).

• 2020 SMI Summer School, Differential Geometry and Functional Analysis, Perugia (Italy).

• 2019 Master's Degree (summa cum laude) ESS, Bocconi University, Milan (Italy).

• 2019 Como Summer School in Random Graphs and Complex Networks, Como (Italy).

• 2017 SMI Summer School, Mathematical Statistics and Game Theory, Perugia (Italy).

• 2017 Bachelor's Degree (summa cum laude) CLES, Bocconi University, Milan (Italy).

• 2016 LSE Methods Summer School in Real Analysis.

• 2015 LSE Summer School in Financial Markets.

• 2014 Scientific High School diploma (100/100), Liceo da Vinci, Treviso (Italy).

• ISBA World Meeting, Poster presentation: Inference of Rankings with Generalized Mallows models. Venice (Italy), July 2-6, 2024.

• Max Plank Institute, Math and AI Day: Uniform Consistency of Generalized Fréchet Means. Leipzig (Germany). February 29, 2024.

• Duke Graduate Seminars: Distance-based Models for Rankings. 2023

• Duke Graduate Seminars: CLTs for Generalized Fréchet Means. 2022

• Duke Graduate Seminars: Gibbs-type Processes for Bayesian Density Estimation. 2021

• (Fall 23)      TA for STA711 Probability and Measure Theory Duke University.

• (Spring 23) TA for STA602 Bayesian Statistics, Duke University.

• (Spring 22) TA for STA561 Probabilistic Machine Learning, Duke University.

• (Fall 21)      TA for STA711 Probability and Measure Theory, Duke University.

• (Spring 21) TA for STA199 Introduction to Data Science, Duke University.

• I received the Honorable Mention as TA of the year 2021-2022

• I organized twice a measure theory boot camp for incoming stats PhD students.