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Confirmed Review and Invited Speakers (updated Oct 10, 2025)
Louis Lyons, University of Oxford (virtual)
Louis Lyons, University of Oxford (virtual)
"Systematic Uncertainties: a Particle Physics Perspective"
David van Dyk, Imperial College (virtual)
David van Dyk, Imperial College (virtual)
"Two Astro-statistical Methods to account for Systematics"
Max Bonamente, University of Alabama in Huntsville
Max Bonamente, University of Alabama in Huntsville
"Models for systematic errors in count data"
Vinay Kashyap, Center for Astrophysics | Harvard and Smithsonian
Vinay Kashyap, Center for Astrophysics | Harvard and Smithsonian
"Propagating atomic data uncertainties"
Hai Fu, University of Iowa
Hai Fu, University of Iowa
"Mitigating Biases in Extragalactic Distance Measurements"
Peter Craig, Michigan State
Peter Craig, Michigan State
"Uncertainties in combining multi-wavelength datasets for classical novae"
Rachel Ivie, American Institute of Physics
Rachel Ivie, American Institute of Physics
"Data to improve Equity in Physics and Astronomy"
Torsten Ensslin, MPA Garching (virtual)
Torsten Ensslin, MPA Garching (virtual)
"Bayesian Basics"
Alex Gagliano, MIT
Alex Gagliano, MIT
"When the Simulator is the Systematic: Model Misspecification in Simulation-Based Inference"
Michela Negro, LSU
Michela Negro, LSU
"Application of machine learning for scientific data analysis"
Daniel Muthukrishna, MIT
Daniel Muthukrishna, MIT
"Systematic Modelling with Generative AI"
Jon Hakkila, University of Alabama in Huntsville
Jon Hakkila, University of Alabama in Huntsville
"Gamma-Ray Burst Pulses as a Case Study for Systematic Uncertainty"
Daniel Whiteson, UC Irvine (virtual)
Daniel Whiteson, UC Irvine (virtual)
"Fast Estimation of Neutron Star Interiors and Uncertainty with ML"
Michael Binger, Wiley
Michael Binger, Wiley
"Bayesian Modeling Lessons from Adaptive Learning: Fast Inference, Structured Uncertainty, and Predictive Calibration"
Eloisa Diaz-Frances, CIMAT (virtual)
Eloisa Diaz-Frances, CIMAT (virtual)
"Improving the detection of high energy astronomical sources by implementing simple and optimal likelihood inferences for Poisson means"
Registered Participants
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