Pierre E. Jacob is a professor of statistics at ESSEC Business School, in Paris, France. He studies Bayesian inference and its variants as well as Monte Carlo algorithms. Pierre received his PhD from Université Paris Dauphine in 2012, and became a postdoc at the National University of Singapore and at the University of Oxford. He was a tenure-track faculty in the Department of Statistics at Harvard University between 2015 and 2021. He received the Guy Medal in Bronze from the Royal Statistical Society (2021), the COPSS Leadership Academy award (2022), and gave the Susie Bayarri lecture at the ISBA World Meeting in 2022. Pierre is also an associate editor of the Journal of the Royal Statistical Society: Series B since 2024.

Sylvia Frühwirth-Schnatter is Professor of Applied Statistics and Econometrics at the Department of Finance, Accounting, and Statistics at WU Vienna University of Economics and Business (Austria). Her research has been published in many leading journals and focuses on latent variable models, including finite mixture models, factor models and state space models and their estimation in a Bayesian framework using efficient sampling techniques. She is particularly interested in applying Bayesian inference in economic and financial time series analysis and in causal inference in micro-economics. She served the Bayesian community in many roles, including ISBA President, Chair of the ISBA Section on Economics, Finance and Business, and Co-Chair of the European Seminar of Bayesian Econometrics. She is elected Member of the Austrian Academy of Sciences and was awarded the 2007 Morris-De-Groot Price for her book on Finite Mixture and Markov Switching Models and the 2024 Zellner Medal by ISBA.