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:
- (Fermilab)
- (University of Toronto)
- (University of Michigan)
- (Georgia Tech)
- (MIT)
- (University of Connecticut)
- (Technical University Munich)
- (NASA Jet Propulsion Laboratory)
- (91视频)
- (Université de Montréal)
- (Columbia University)
- (University of Toronto)
- (Imperial College London)
- (91视频)
- (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
- (University of Wisconsin-Madison)
- (Massachusetts Institute of Technology)
- (University of Texas at Austin)
- (Rensselaer Polytechnic Institute)
- (The Pennsylvania State University)
- (91视频)
- (University of Arkansas)
- (Princeton University)
- Larry Wasserman (91视频)
- (Rutgers University)
- (University of Wollongong)