February 08, 2019
Tepper School Professor Awarded $500K in Research Funding
The National Science Foundation (NSF) has awarded Benjamin Moseley, Assistant Professor of Operations Research, $500,000 in future research funding for the development of large data processing algorithms for problems arising in graph processing, data mining and bioinformatics.
“I’m incredibly humbled that my research stood out to be selected for this award,” said Moseley. “I feel very grateful for the support I’ve received from the Tepper School.”
Moseley’s research will analyze various approaches to design algorithms. Moseley hopes to open the door to new research directions for processing big data in operations research, data mining and bioinformatics. The new algorithms will give data scientists tools to learn more from the large amount of data being gathered from domains such as social networks, biological sequences and online consumer behavior.
The NSF CAREER Award supports early-career faculty who will serve as research and education role models and is the most prestigious award granted by the National Science Foundation for early-career faculty. The award seeks educators who show a passion for lifetime leadership. Recipients are chosen based on the relevance of their research proposal and their commitment of service to scientific leadership, education or community outreach. The funding will be distributed over five years of research.
Moseley and his team were also selected to receive a faculty award from Infor, which will include $100,000 in funding.
“This is one of the most prestigious awards a young researcher can win, and we’re very excited for Ben to receive this recognition,” Alan Scheller-Wolf, Richard M. Cyert Professor of Operations Management and Senior Associate Dean of Faculty and Research. “But, as important as the award is, I am personally even more excited to see how Ben’s research develops over the next few years.”
Moseley’s research largely follows operations research, theoretical computer science, theoretical foundations of machine learning, scheduling theory and distributed computing.
Moseley joined the Tepper School in 2018, and is also an Assistant Professor of Machine Learning in the School of Computer Science and member of the Ph.D. program Algorithms, Combinatorics and Optimization. He was previously an Assistant Professor in the Department of Computer Science and Engineering at Washington University. He earned his Ph.D. from the University of Illinois, Urbana-Champaign in 2012.