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I'm a Physics PhD candidate at McGill University and the Trottier Space Institute. I'm interested in all things gravitational-waves, whether they be from mergers of black holes and neutrons stars, core-collapse supernovae, or spinning pulsars!
My current research involves using machine learning techniques to make rapid predictions for LIGO-Virgo candidate gravitational-wave events. On this website you can read more about my research, including info on projects I work on, and some more info about me.
Email: nayyer.raza@mail.mcgill.ca
ADS: Nayyer Raza
GitHub: nayyer-raza
Research Interests
I work at the intersection of machine learning and gravitational-wave astronomy. The type of astrophysical sources I study are core-collapse supernovae and mergers of dense compact objects like neutron stars and black holes. I've worked extensively with neural networks to build models that can enable the study of these sources, and am particularly interested in the interpretably of these ML models.
Animation credits: NASA/Goddard/CI Lab
Some recent papers: