Yuxin Ma

Hi! I am a PhD student at the Department of Applied Mathematics and Statistics at Johns Hopkins University, where I am fortunate to be advised by Soledad Villar and Tim Kunisky. My research interests lie at the intersection of mathematics and deep learning. I am exploring how to incorporate mathematical ideas into the design of new deep learning algorithms, while also investigating how deep learning can aid in solving challenging mathematical problems. Check out my research page to learn more!

Previously, I completed an MMath and BA Hons degree in Mathematics at the University of Cambridge where I was mentored by Benedikt Löwe and Orsola Rath Spivack. During my master’s studies, I focused on Statistics and completed an essay on Topological Data Analysis, advised by John Aston and Jacob Rasmussen.