email@example.comJolley Hall, Room 510
Benjamin Moseley works on the design, analysis and evaluation of algorithms. His work spans the areas of theory, machine learning, operations research and parallel computing. His current work focuses on using algorithm design to increase the scalability of our data science processing methods. His research focuses on designing algorithmic techniques for both processing large data sets and improving the computing infrastructure used for processing the data.
Professor Moseley joined the Department of Computer Science & Engineering at Washington University in St. Louis in July 2014. Previously, he was a Research Assistant Professor at the Toyota Technological Institute at Chicago from 2012-2014. Prior to that, he was a visiting professor at Sandia National Laboratories in 2013 and a research intern at Yahoo! Research in 2010 and 2011.
Professor Moseley received the Best Paper Award at the 2015 International Parallel and Distributed Processing Symposium (IPDPS), Best Paper Award at the 2013 Symposium on Parallelism in Algorithms and Architectures (SPAA) and Best Student Paper Award at the 2010 Symposium on Discrete Algorithms (SODA). He also co-organizes the seminar "New Challenges in Scheduling Theory."
Researches the design, analysis & limitations of algorithms