Nicolas Auguin received his Diploma of Engineering from Télécom SudParis, France, in 2014. He also obtained a Master of Philosophy at the Hong Kong University of Science and Technology (HKUST), in the department of Electronic and Computer Engineering. His master thesis focused on machine learning applied to music classification. Since 2014, he has been a PhD student at HKUST, under the supervision of Prof. Matthew McKay. His current research focuses on machine learning and random matrix theory. He is now visiting the Large Networks and Systems Group (LANEAS), at Centrale-Supélec, where he is advised by Prof. Romain Couillet.