Arvind C. N. Hughes

Arvind C. N. Hughes is a Part-Time Lecturer at Macquarie University and a Postdoctoral Researcher at Imperial College London. At Imperial, he develops Bayesian pipelines to identify high-redshift quasars in the Euclid Survey. At Macquarie, he teaches business analytics and statistics courses. Previously, he completed his PhD at the Max Planck Institute for Astronomy and Macquarie University, focusing on statistical and machine learning methods for Milky Way studies.

His educational background includes:

• Ph.D. Candidate (2019-2023) at Max Planck Institute for Astronomy and Macquarie University
• Masters of Research (2016-2017) at Macquarie University
• Bachelor of Science in Astronomy & Astrophysics (2013-2015) at Macquarie University
• Bachelor of Arts in Mathematics and Bachelor of Economics in Econometrics (2007-2012) at Macquarie University

Dr. Hughes' research interests lie at the intersection of astronomy and data science. He applies machine learning and statistical techniques to large astronomical surveys, with a focus on galactic archaeology and the search for high-redshift quasars and extremely metal-poor stars. His work leverages datasets from missions like Gaia and Euclid.

He has presented his research at conferences including the European Astronomical Society Meeting and the Astronomical Society of Australia meetings. Additionally, he has industry experience as a Chief Data Scientist in the property market sector, where he developed valuation tools.

Dr. Hughes has been affiliated with the Gaia Galactic Survey Mission group at the Max Planck Institute for Astronomy and currently works in the Astrostatistics Group at Imperial College London.