Is a PhD candidate in computer science at the University of Chicago, where her research focuses on machine learning and privacy, specifically the limitations, vulnerabilities, and privacy implications of neural networks. After graduating from Wheaton College in 2016 with a degree in mathematics and physics, Emily worked for two years as a mathematician at the US Department of Defense before beginning her PhD studies in 2018.
