Contact: amv458@nyu.edu
Bio: Artem was a PhD student at the NYU Center for Data Science, who worked with Julia Kempe. In 2019, he graduated from the University of Massachusetts Amherst with a B.S. in Mathematics and completed an undergraduate thesis in matroid theory with Professor Tom Braden. Before joining NYU, he completed research on predicting Riemann Zeta-function zeroes with neural networks in San Diego State University and worked on a computer vision project at the Institute for Pure and Applied Mathematics. His current interests lie in the optimization and mathematics of machine learning.