May 13th - 15th, 2026
Workshop on Trustworthy Statistical Inference for the Physical Sciences
This workshop brings together leading statisticians, data scientists and physical scientists to chart the next advances in trustworthy statistical inference for the physical sciences through interdisciplinary presentations and discussions. The workshop covers a broad range of research on methods that provide statistical guarantees, validity and robustness in real-world problems, especially in terms of deriving scientific conclusions from complex data across fields ranging from astronomy and particle physics to climate and environmental science.
Featured Speakers Include:
- Oz Amram (Fermilab)
- Ricardo Baptista (University of Toronto)
- Yang Chen (University of Michigan)
- Aishik Ghosh (Georgia Tech)
- Philip Harris (MIT)
- Trevor Harris (University of Connecticut)
- Lukas Heinrich (Technical University Munich)
- Jon Hobbs (NASA Jet Propulsion Laboratory)
- Rachel Mandelbaum (Carnegie Mellon University)
- Laurence Perreault-Levasseur (Université de Montréal)
- Bodhisattva Sen (Columbia University)
- Joshua S Speagle (University of Toronto)
- Adam Sykulski (Imperial College London)
- Larry Wasserman (Carnegie Mellon University)
- Brian Weaver (LANL)
October 4th - 5th, 2025
Workshop on Neural Simulation-Based Inference
Neural simulation-based inference (neural SBI) has led to a recent paradigm shift in statistical inference across fields ranging from astronomy and particle physics to climate and environmental science. The goal of this workshop is to bring together researchers in neural SBI who have so far been largely siloed within disjoint communities. We expect that this will lead to cross-pollination of ideas across these communities to facilitate the next advances in neural SBI and its applications.
Featured Speakers Include
- Kyle Cranmer (University of Wisconsin-Madison)
- Gaia Grosso (Massachusetts Institute of Technology)
- Patrick Heimbach (University of Texas at Austin)
- Stefan Radev (Rensselaer Polytechnic Institute)
- Joel Leja (The Pennsylvania State University)
- Barnabas Poczos (Carnegie Mellon University)
- Reetam Majumder (University of Arkansas)
- Bingjie Wang (Princeton University)
- Larry Wasserman (Carnegie Mellon University)
- Minge Xie (Rutgers University)
- Andrew Zammit-Mangion (University of Wollongong)