Originally from North Carolina, she completed her undergraduate coursework in Mathematics at the University of North Carolina at Chapel Hill and in 2016 she received a Ph.D. from the Department of Statistics at Yale University under the supervision of Andrew Barron. Her research interests lie broadly in statistics and applied probability with a current focus on statistical machine learning algorithms, such as message passing. These algorithms can be used for inference and optimization in many applications and some that she studies include communications systems, compressed sensing, and image reconstruction.