PhD Student in Statistics, University of Geneva (UNIGE)
After having completed Bachelor in International Finance, followed by a Masters degree in Statistics, I started my PhD in Statistics at the University of Geneva (UNIGE) under the supervision of Prof. Eva Cantoni.
My research interests include multivariate zero-inflated models, copulas, dependence modelling, graph models.
Email: firstname.lastname@unige.ch
Publications
Published
…
In print
Novel Tau-Informed Initialization for Maximum Likelihood Estimation of Copulas with Discrete Margins – A. van Es, E. Cantoni, 2026.
Submitted
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Working papers
Nonlinear latent variable models on graphs: inference via Laplace-approximated likelihood and its application to gravity – A.van Es, E. Cantoni, D. La Vecchia, 2026.
Upcoming conferences
2026
- European Meeting of Statisticians (EMS), 24 – 28 August 2026, Lugano, Switzerland. Presentation: Novel Tau-Informed Initialization for Maximum Likelihood Estimation of Copulas with Discrete Margins.
Past conferences
2025
- 8th International Conference on Econometrics and Statistics (EcoSta 2025), Tokyo, Japan. Invited talk: Challenges in multivariate zero-inflated models with solutions using a copula approach.
- Eurandom YES XIII workshop on Dependence Modeling, Eindhoven, the Netherlands. Poster presentation: Dependence modelling challenges in multivariate zero-inflated count models with copulas (MuZIC).
- Statistics PhD Day (UNIGE), Challenges in Multivariate Zero-Inflated Models with solutions using a copula approach. Multivariate Zero-Inflated Model using Copulas (MuZIC) and copula parameter estimation.
2024
- Statistics PhD Day (UNIGE), Extending multivariate zero-inflated models: a copula approach for complex dependency.
- RISIS Christmas event, Multivariate modeling of counts with excess of zeroes using copulas. Second prize award.
- RISIS Data Science day, From zero to insight: handling excess zeros in multivariate contexts.
About me
I am a statistician whose research lies at the intersection of statistical modelling, computational likelihood methods, and applied data analysis. My work focuses on flexible models for complex dependent data, in particular multivariate count data, zero-inflated and zero-adjusted models, latent variable models, graph models and copula-based approaches for discrete outcomes. I am especially interested in developing statistically rigorous and computationally feasible methods for high-dimensional structured data, with applications ranging from international trade networks to ecology and collaborative scientific problems. More broadly, I enjoy building methods that are not only theoretically well-founded, but also useful in practice when standard modelling tools are no longer sufficient.
In my free time, I enjoy photography, in particular, wildlife and street, traveling, Formula One racing, coding and reading.
Teaching
Bachelor classes:
- Statistics (with Dr. Enrico Chavez)
- Probabilités I (with Prof. Sebastian Engelke, in French)
- Mathématiques II (with Prof. Marta Pittavino, in French)
- Probability and Statistical Learning (with Prof. Eva Cantoni)
- Mathématiques I (with Dr. Shahin Tavakoli, in French)
Master classes:
- Modern Flexible Regression (with Prof. Eva Cantoni)
Awards
GSEM Teaching Engagement Award (UNIGE), received by Prof. Eva Cantoni, supported by Anna van Es and the SEA Center (Soutien à l’enseignement et l’appren-tissage), for a project in the Master in Statistics. Students used ChatGPT under predefined rules and critically assessed its contribution, fostering reflection on the use of artificial intelligence in data analysis.
Organization
Statistics PhD Day, 2024, aiming to connect PhD students and faculty members belonging to the Research Institute for Statistics and Information Science of the University of Geneva and to celebrate the spirit of research and intellectual curiosity.
Links
News
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