Dr. Thu Nguyen is an Assistant Professor in the Department of Math and Statistics at the University of Maryland, Baltimore County (UMBC). She obtained her PhD degree in Statistical Signal Processing from The Lille 1 University of Science and Technology in 2014, and her PhD degree in Applied Mathematics from Wayne State University in 2020.  Dr. Nguyen's research interests lie at the intersection of stochastic approximation, Monte Carlo methods, stochastic systems, applied mathematics, and their applications. Her current research focuses on designing and analyzing new stochastic approximation algorithms for stochastic networked systems, as well as developing and applying efficient Monte Carlo samplers for complex statistical problems. She is also interested in applying these techniques to problems in statistical learning, artificial intelligence, and machine learning. Since joining UMBC in 2020, Dr. Nguyen has expanded her research interests in the fields of machine learning and deep learning. Her research in this area revolves around the development of a novel class of deep learning-based models tailored to diverse time series modeling tasks.