Keynote speakers

Jane-Ling Wang Jane-Ling Wang, University of California, Davis

Jane-Ling Wang is Distinguished Professor at the University of California, Davis. Her research interests include survival analysis, functional data analysis and machine learning. She also enjoys collaborations with domain scientists.
She is a member of the American Association for the Advancement of Science and was elected Academician of Academia Sinica in 2022. She served as the co-editor of the Journal of American Statistical Association from 2020 to 2023.

Hans-Georg Müller Hans-Georg Müller, University of California, Davis

Hans-Georg Müller is Distinguished Professor of Statistics at the University of California, Davis. He works on topics in functional data analysis and metric statistics, including conformal inference, causal inference and Fréchet regression for random objects. He also collaborates with researchers on topics in aging and longevity, neuroimaging and brain development, plant genetics and other areas. He is a Fellow of the American Association for the Advancement of Science and serves as co-editor of the Annals of Statistics 2025-2027.

Martin Ester Martin Ester, Simon Fraser University

Martin Ester is a Distinguished Professor of Computer Science at Simon Fraser University. He is a Fellow of the Royal Society of Canada. His research interests have been in the areas of data mining and machine learning, with a current focus on causal discovery and causal inference, transfer learning and continual learning, self-supervised learning, and generative molecule models. Much of his research is driven by biomedical applications such as the discovery of novel cancer drugs or the detection of causal relationships between the gut microbiome and brain connectivity.