Ben Moseley is currently an Assistant Professor in the Department of Computer Science and Engineering at Washington University in St. Louis. He is primarily affiliated with the theoretical computer science (TCS) group and actively works in the parallel computing group and the machine learning group. He received a PhD from the University of Illinois and was advised by Chandra Chekuri.

Professor Moseley's research interests are focused on theoretical computer science and its applications. He works on the design, analysis and evaluation of algorithms. He is actively working on scheduling theory, distributed computing and massively parallel computation, and the foundations of machine learning.

Ben Moseley has won several best paper awards including a 2015 IPDPS Best Paper Award, a SPAA 2013 Best Paper Award, a SODA 2010 Best Student Paper Award and had an oral presentation at NIPS 2017 (top ~1.3% of submissions).

Moseley is a Google Faculty Research Award recipient, a Yahoo! Academic Career Enabling (ACE) Award recipient, and was a 2016 Simons-Berkeley Fellow.

From 2012-2014 he was a Research Assistant Professor at the Toyota Technological Institute at Chicago. He was a visiting professor at Sandia National Laboratories in 2013 and has frequently been affiliated with Yahoo Labs.