Nastya is a postdoctoral researcher working with Guy Bresler, Philipper Rigollet, David Sontag, and Caroline Uhler. She received her Ph.D from Ecole Normal Superieure in Paris, France. Her research interests revolve around machine learning and optimization. These include inference for graphical models, topic modeling, independent component analysis and blind source separation, and matrix and tensor factorization methods. She is also interested in estimation and inference methods for graphical models with provable guarantees.