Andrea Aveni
About me
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.
Research
A. Aveni, S. Mukherjee, Generalized Frechet Means. [arxiv]
A. Aveni, L. Crippa, G. Principi, On the weighted top-difference distance. [arxiv]
A. Aveni, P. Leonetti, Most Numbers are Normal, Mathematical Proceedings of the Cambridge Philosophical Society. [Cambridge]
Teaching
(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.
Education
2024 Concurrent Master's Degree in Mathematics, Duke University.
2023 PhD Candidate in Statistical Sciences, Duke University.
2020 SMI Summer School Perugia, Differential Geometry and Functional Analysis.
2019 Master's Degree (summa cum laude) ESS, Bocconi University.
2019 Como Summer School in Random Graphs and Complex Networks.
2017 SMI Summer School Perugia, Mathematical Statistics and Game Theory.
2017 Bachelor's Degree (summa cum laude) CLES, Bocconi University.
2016 LSE Summer School in Real Analysis.
2015 LSE Summer School in Financial Markets.
2014 Scientific High School diploma (100/100), Liceo da Vinci, Treviso.
