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Gautham Narayan is an Associate Professor in the Department of Astronomy at the University of Illinois Urbana-Champaign. His research lies at the intersection of time-domain astrophysics, cosmology, and statistical data science, focusing on the fast detection and classification of transient astronomical sources using machine learning techniques, particularly neural networks. He plays a significant role as the Analysis Coordinator for LSST's Dark Energy Science Collaboration and leads the SCiMMA team, which develops scalable cyberinfrastructure for multi-messenger astrophysics. Narayan collaborates with various prominent research surveys such as Pan-STARRS and ESSENCE. He values the mentor-mentee relationship and is committed to public outreach, sharing his passion for studying the cosmos with students and the community. Additionally, he engages in outdoor activities like hiking and photography in his free time.
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