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About

C. Fremling is a leading figure in time-domain astronomy, renowned for their pivotal role in building the infrastructure that powers modern supernova discovery. As a key member of the Zwicky Transient Facility (ZTF), Fremling co-authored the foundational paper on ZTF’s data processing and archive (over 1,170 citations), which has become an essential resource for the community. They also spearheaded the development of the GROWTH Marshal, a dynamic science portal that enables astronomers worldwide to coordinate rapid follow-up observations of transient events. Fremling’s impact extends to instrumentation with the GROWTH-India Telescope, India’s first robotic eye for time-domain astrophysics, significantly expanding global observational capacity. Most recently, they developed CCSNscore, a deep learning tool that uses SED-machine spectra to automatically classify core-collapse supernovae, directly addressing the bottleneck of spectral identification in an era of abundant transient alerts. Through these contributions—from survey operations and data systems to machine learning classification—Fremling has been instrumental in transforming how the astronomical community discovers, tracks, and understands explosive stellar deaths.