About: Leslie was a Ph.D. student in Data Science at the NYU Center for Data Science, where she was advised by Arthur Spirling. Her research is focused on NLP applications and text-as-data in political science. Leslie has a BA, summa cum laude, from Columbia University, and an MA from NYU, where she was a Ph.D. student in political science prior to joining Data Science.
Vladimir was a PhD student at the NYU Center for Data Science where he was a part of the Math and Data Group. His graduate work was advised by Robert Kohn and Carlos Fernandez-Granda, and was supported in part by the Moore-Sloan Data Science Environment at New York University.
His research area is mathematical and statistical foundations of data science and machine learning. I focus on their intersection with differential equations, control theory and optimization, and on applications to online learning, medical and molecular imaging, computer vision, robotics, finance and regulatory policy.