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Andrew Miller is a postdoctoral researcher currently at Nikhef, focusing on utilizing machine learning to detect glitches in audio-frequency time-series data. Previously, Andrew held a postdoctoral position at Université catholique de Louvain, where research involved machine learning and signal processing to detect dark matter interactions and search for gravitational waves. Andrew's experience also includes roles as an archival research fellow at the European Space Agency and visiting researcher at esteemed institutions such as Sapienza Università di Roma and The University of Tokyo. Andrew has received multiple prestigious fellowships and holds two PhDs in Physics from the University of Florida and Sapienza Università di Roma, along with a Master's degree and a Bachelor's degree in Physics. Responsibilities have included mentoring students and managing research projects in gravitational-wave studies.