David Sweeney is a postdoctoral fellow whose research bridges astrophysics, machine learning and photonic instrumentation. Prior to joining SAIL, he was an Early Career Visiting Scientific Visitor at the European Southern Observatory (ESO) and a Fulbright Scholar at the University of California, Irvine. His current research focuses on gas sensing with photonic technologies — developing compact, lightweight spectroscopic sensors capable of detecting methane and other greenhouse gases for deployment in agricultural and environmental monitoring applications. David also works on the population of compact stellar remnants in the Milky Way and applies machine learning techniques to problems in astronomical data analysis and photonic device modelling.
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