Ben Moseley is an Assistant Professor of Operations Research in the Tepper School of Businesss at Carnegie Mellon University. He received a PhD from the University of Illinois and was advised by Chandra Chekuri.

Professor Moseley's research interests are broadly in operations research and theoretical computer science. He works on the design, analysis and evaluation of algorithms. He is currently working on scheduling theory, distributed computing, and the foundations of data analytics.

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 he had an oral presentation at NIPS 2017 (top ~1.3% of submissions).

Moseley's work has been supported by grants from the National Science Foundation, Yahoo and Google. Moseley is a Google Faculty Research Award recipient, a Yahoo! Academic Career Enabling (ACE) Award recipient, and was a 2016 Simons-Berkeley Fellow.

In the past, he was an Assistant Professor in the Department of Computer Science and Engineering at Washington University in St. Louis from 2014-2017. 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.