International Day Of Women in Statistics and Data Science: Full Schedule

Registration opens August 15th at www.idwsds.org.

You will be able to validate your attendance (Check-In to sessions) using your personal schedule.

21:00 UTC

S122 - Advances from Junior Bayesian Statisticians: Bayesian Models for Complex Networks and Relational Data

Tuesday October 6, 2026 21:00 - 22:00 UTC

The junior section of the International Society of Bayesian Statistics (j-ISBA) is excited to present a session showcasing the work of outstanding early-career women researchers from the United States, Italy, and Germany. This session highlights recent advances in Bayesian methodology for analyzing complex relational and structured data, with a focus on flexible probabilistic modeling, scalable computation, and impactful real-world applications.

The four talks highlight modern Bayesian approaches for the modeling of networks and high-dimensional relational data. They span generative models for graph-structured data grounded in classical Bayesian principles of exchangeability, Bayesian nonparametric models for interaction networks with evolving community structure, latent variable models that account for uncertainty and reporting bias in social network data, and hierarchical tensor factorization methods for large-scale sparse relational arrays. Across these contributions, speakers develop computationally efficient inferential strategies using tools including variational inference, hybrid Monte Carlo algorithms, and scalable latent variable methods. These approaches enable Bayesian analysis in settings involving millions of observations while maintaining interpretable probabilistic models.

Together, these talks demonstrate the innovative methodological, theoretical, and applied contributions of early-career women Bayesian statisticians.

Speakers

Federica Zoe Ricci

Swarthmore College

Federica is an Assistant Professor of Statistics (tenure-track) at Swarthmore College, a liberal-arts college located near Philadelphia. She received her PhD in Statistics from UC Irvine. She is currently interested in the development of modeling approaches and scalable computational... Read More →

Louise Alamichel

Bocconi University

Louise is a post-doctoral researcher at Bocconi University in Milan, working with Daniele Durante. Her research is on Bayesian non-parametric mixture models. On one side, she focuses on the inference of network data using these models, and on the other side, on their asymptotic properties... Read More →

Martina Contisciani

Center for Critical Computational Studies @ Goethe University Frankfurt

Martina Contisciani is a postdoctoral researcher at the Center for Critical Computational Studies (C3S) at Goethe University Frankfurt. Her research focuses on the development of statistical models and algorithms for the study of complex systems, with a particular interest in inferential... Read More →

Jie Jian

The University of Chicago

Jie is a postdoctoral scholar at the Data Science Institute at the University of Chicago. Her research develops interpretable probabilistic and machine-learning methods for network and tensor data. These methods are motivated by applications in brain imaging, climate science, international... Read More →

Chairs/Hosts

Emma Landry

Organizers

Emma Landry

S122 Abstracts pdf

Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #1

Invited Session, Technical Statistical Session

Session ID 122

International Day Of Women in Statistics and Data Science

21:00 UTC

Federica Zoe Ricci

Louise Alamichel

Martina Contisciani

Jie Jian

Emma Landry

Emma Landry

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