Josiah Purdum
Papers
2
Total Citations
9
H-Index
2
About
Josiah Purdum is an emerging leader in time-domain astrophysics, specializing in the classification of supernovae and the electromagnetic follow-up of gravitational-wave events. His work bridges cutting-edge machine learning and multi-wavelength observational astronomy. Purdum’s most impactful contribution is the development of **CCSNscore**, a multi-input deep learning tool that automates the classification of core-collapse supernovae using spectra from the SED-machine instrument. This tool addresses a critical bottleneck in the era of large-scale surveys like the Zwicky Transient Facility (ZTF), where thousands of transient candidates require rapid, accurate typing. With 5 citations since its 2025 publication, CCSNscore is already proving essential for efficient transient identification. In parallel, Purdum has advanced gravitational-wave astrophysics through his work on the **WINTER** (Wide-Field Infrared Transient Explorer) project. His follow-up observations of the gravitational-wave event S250206dm demonstrate the vital role of near-infrared searches in detecting kilonovae—the optical counterparts to neutron star mergers. This work, garnering 4 citations, showcases his skill in coordinating rapid-response observations. Purdum’s research is at the forefront of using AI and infrared astronomy to unlock the dynamic universe, making him a key figure to watch in the coming years.
Research Focus
Key Achievements
Top Papers
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