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About

M. W. Coughlin is a leading figure in time-domain astronomy, specializing in the rapid discovery and classification of transient astrophysical events. His key research areas include supernova classification, multi-messenger astronomy, and the development of dynamic cyberinfrastructure for real-time data analysis. Coughlin’s most significant contribution is the creation of the GROWTH Marshal, a dynamic science portal that revolutionized how astronomers coordinate follow-up observations of transients. Described in a 2019 paper with 155 citations, this platform enables scientists to define science programs, filter discovery streams, and orchestrate panchromatic follow-up with robotic and classical telescopes worldwide. More recently, Coughlin has advanced supernova classification with CCSNscore, a multi-input deep learning tool that uses SED-machine spectra to identify core-collapse supernovae—a critical capability given the flood of candidates from surveys like the Zwicky Transient Facility (ZTF). His work bridges the gap between massive data streams and actionable science, making him a pivotal architect of modern transient astronomy infrastructure. Coughlin’s tools empower researchers to move from detection to understanding with unprecedented speed and precision.