The Statistical Methods for the Physical Sciences (STAMPS) Research Center at Carnegie Mellon University is organizing a three-day workshop on trustworthy statistical inference on May 13-15, 2026. The workshop will take place in person at the CMU campus in Pittsburgh. A webcast for remote participants will also be available.

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.

The workshop will feature talks by leading researchers at the intersection of statistics and the physical sciences, contributed poster presentations, and plenty of opportunities for interaction between the participants. Confirmed speakers include:

• Ricardo Baptista (University of Toronto)
• Nicholas M Boffi (Carnegie Mellon University)
• Yang Chen (University of Michigan)
• Tommaso Dorigo (INFN)
• 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)

(click here to view campus map)

Please refer any questions to stamps@stat.cmu.edu