Her research focuses on applying machine learning to improving maternal and perinatal health. Previously, her research has focused on information theory, a mathematical discipline tightly related to statistics and machine learning. She co-edited and co-authored a book, a monograph, two book chapters and multiple journal and conference papers on the topic. She served as an Associate Editor for the IEEE Communications Letters from 2009 to 2012, for the Trans. on Emerging Telecommunications Technologies from 2016 to 2018. She is a co-recipient of the 2021 Rosenkranz Prize and the 2013 IEEE Communications Society Best Tutorial Paper Award.