Public Webinars & Hybrid Events
Webinars are held monthly and are open to all interested members of the scientific community.
Unless otherwise stated, these webinars will take place on Zoom Fridays once a month at 1:30-2:30 PM ET. Some webinars will be hybrid events with an in-person component at the CMU campus.
To join, you must be subscribed to our webinar mailing list. You can also add the webinars to your calendar by subscribing to the Google Calendar below. Past webinar recordings and information are available in the online archive and on the STAMPS YouTube Channel.
Upcoming Webinars & Hybrid Events
May 16, 2025
Brian Nord - Fermilab
Location: Zoom
Title: Simulation-based Inference and the Design and Operation of Science Experiments
Abstract: Simulation-based inference (SBI) is a highly efficient approach for inferring expressive density distributions in many areas of research – economics, climate, population genetics physics, astronomy. Moreover, SBI has potential application in measuring properties of nature in those areas, but also in the design of experiments – including instruments and data acquisition. However, some key challenges remain before SBI will be ready for these tasks – e.g., domain adaptation, trustworthy/credible uncertainty quantification, and high-dimensional parameter space sampling. In this talk, I will discuss some work by my group and the rest of the community in working toward these goals.
Bio: Brian Nord’s work focuses on how to improve the ways in which we make scientific discoveries --- developing algorithms, building statistical models, and auto-designing experiment. Brian started his career in large-scale structure cosmology, analyzing galaxy clusters and strong gravitational lenses. More recently, he has been exploring the potential of AI algorithms to address critical challenges in cosmological data analysis. Currently, he is integrating AI with rigorous statistical methods and using this to aid in the design of scientific experiments.