Presentations
GWSky Online Seminar Series
The online seminar series aims to foster regular exchange among researchers eager to contribute to the advancement of gravitational-wave science. Across monthly sessions, participants present and discuss topics at the intersection of astrophysics and cosmology, gravitational-wave physics, strong-field gravity, and high-energy theory. The series includes guest speakers from within and beyond the project to broaden perspectives, deepen methodological insights, and expand collaboration across institutions and sub-fields.
The seminars are held monthly on Mondays. The organizing committee is formed by Ariadna Ribes Meridieri (Niels Bohr Institute, Copenhagen), Emma Albertini (Scuola Internazionale Superiore di Studi Avanzati, Trieste), Francisco Blanco (Max Planck Institute for Gravitational Physics, Potsdam) and Matteo Sergola (University of California, Los Angeles).
Online seminar: Paolo Pani
June 22, 2026
Our online seminar will take place on June 22 at 5:00 PM (CET), featuring a talk by Paolo Pani (Sapienza University) titled “GreyRing: Novel ringdown tests of general relativity with black hole greybody factors”.
Paolo Pani
© Paolo Pani
Online seminar: Alexandre Le Tiec
April 27, 2026
Our online seminar will take place on April 27 at 5:00 PM (CEST), featuring a talk by Alexandre Le Tiec (Observatoire de Paris) titled “Tidal deformations of black holes”.
Alexandre Le Tiec
© Fabrice Roy
Online seminar: Verónica Vázquez-Aceves
March 23, 2026
Our next online seminar will take place on March 23, at 5:30 PM (CET), with a talk by Verónica Vázquez-Aceves (Kavli Institute for Astronomy and Astrophysics at Peking University) titled “Inspiraling Systems in Dense Stellar Environments: Formation, Dynamics, and Detection Challenges”.
Verónica Vázquez-Aceves
© Verónica Vázquez-Aceves
Online seminar: Maximilian Dax
February 25, 2026
Our online seminar series begins on February 25, at 5:30 PM (CET), with a talk by Maximilian Dax (ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems) titled “Real-Time Gravitational-Wave Inference with Probabilistic Machine Learning”.
Maximilian Dax
© MPI for Intelligent Systems / W. Scheible