First-Author Machine Learning And Astrophysics Research
Identified for the first time the applicability of positive and unlabelled machine learning techniques to study repeating fast radio bursts; flagged 66 (18 new) repeater candidates in the CHIME/FRB catalogPresented findings at the 2023 IEEE Massachusetts Institute of Technology URT Conference expanded paper published in the Monthly Notices of the Royal.