Save the Date: SLDS 2026 - Inference and Intelligence
November 1–3, 2026 | Marriott at the Brooklyn Bridge, New York City, NY
https://asa-slds.github.io/slds2026/index.html
The ASA Section on Statistical Learning and Data Science (SLDS) invites you to join us for the 2026 SLDS Conference, the flagship event that brings together researchers from academia, industry, and government to advance statistical learning and artificial intelligence.
The conference provides a relaxed yet stimulating environment for discussing recent developments in theory, methodology, and applications. Topics include (in alphabetical order): artificial intelligence, big data analytics, causal inference, deep learning, graphical models, high-dimensional statistics, learning theory, machine learning, model selection, network analysis, spatiotemporal modeling, and text and image analytics, with applications across the health, social, and engineering sciences.
Theme: Inference and Intelligence
Keynote Speakers (alphabetical order):
- Dean Foster, Senior Principal Research Scientist, Amazon
- David Rosenberg, Head of Machine Learning Strategy, Bloomberg
- Bin Yu, Professor of Statistics, Electrical Engineering, and Computer Science, University of California, Berkeley
We invite you to mark your calendars and get involved! Volunteers and contributors are welcome.
The local organizing committee, led by Dr. Yang Feng and Dr. Wen Zhou, will host SLDS 2026 at the New York Marriott at the Brooklyn Bridge.
Further details on abstract submission and registration will be provided on the conference website. We look forward to your participation and spreading the word!
Regards,
The 2026 SLDS Conference Organizing Committee
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Giles Hooker
University of Pennsylvania
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