OCTOBER 11-15, 2021

Session 2: Astrophysics and Astronomy

Aug 30, 2021 (updated Oct 5, 2021)

The growing size of modern astronomical surveys makes a reliable analysis using established image processing techniques difficult. AI based analysis promises to provide a viable solution to handing the ever increasing data volumes. Other areas of astronomy and astrophysics also benefit significantly from deep neural networks for classification purposes and to generate simulated data.

Monday, October 11, 2021 14:45 - 16:15 UTC (click for other timezones)


  • Francisco Forster - Adjunct Professor at Center for Mathematical Modeling Associate Researcher at Millennium Institute for Astrophysics
  • Marco Cavaglià - Professor of Physics at the Missouri University of Science and Technology
  • Ting-Yun Cheng - Postdoctoral Research Associate at Durham University
  • Yuan-Sen Ting - Australian National University


  • Elena Cuoco, Head of the Data Science Office at the European Gravitational Observatory and Scuola Normale Superiore di Pisa
  • Željko Ivezić, University of Washington
  • Lukas Nellen, Universidad Nacional Autónoma de México (UNAM)