Ashish Mahabal is an astronomer at Caltech and the Deputy Director of the Center for Data-Driven Discovery. He is the machine learning lead of the Zwicky Transient Facility (ZTF) team, which is dedicated to discovering and characterizing transient astronomical events. Mahabal's research focuses on the study of variable and transient sources in the sky, including supernovae, gamma-ray bursts, and other high-energy phenomena. Besides large astronomical datasets he is also involved in methodology transfer to medical data including cancer detection.
Mahabal has made significant contributions to the field of time-domain astronomy, including the development of machine learning algorithms for classifying transient events. He has been involved in several large-scale sky surveys, including the Catalina Real-Time Transient Survey (CRTS) and the ZTF, and is involved in the forthcoming Rubin and Roman survey. His team has developed ZARTH, a game to catch astronomical transients on your mobiles. Mahabal's work has advanced our understanding of the dynamic universe and has paved the way for new discoveries in astronomy.
Heramb Warke
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