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 Astronomical SocietyOne of 20 projects to win the grand prize at the Indian IRIS National Science Fair in 2024 and be selected as part of Team India for the 2024 International Science & Engineering Fair in Los Angeles.Trained, optimized five PU classifiers; improved recall by 4.62% and outperformed past work on key PU metrics. Supervised by Dr. Vinesh Maguire Rajpaul from the University of Cambridge.Conference proceedings: ieeexplore.ieee.org/abstract/document/10535037)Full-length MNRAS paper: doi.org/10.1093/mnras/stae1972arXiv:2408.11436