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Adam Miller

Miller, Adam

Program Director, LSSTC LSST Data Science Fellow; Data Science Fellowship Program Director

Department:

Dr. Miller uses observations from optical time-domain surveys to study stellar evolution, specifically star formation and stellar death. He searches for accretion outbursts from young stars, known as FU Ori-like eruptions, to understand how solar-mass stars grow in their infancy. He also builds automated machine-learning classification models to infer the fundamental properties of stars and classify variables across the Hertzsprung-Russell diagram. Finally, Dr. Miller studies the latest stages of stellar evolution via observations of exploding stars, known as supernovae, which he uses to understand the explosion mechanisms and the environments around massive stars and compact objects.