# Ben MoseleyAssociate ProfessorOperations Researchmoseleyb@andrew.cmu.edu

**Source**: https://www.andrew.cmu.edu/user/moseleyb/
**Parent**: https://aco.math.cmu.edu/index.html

Professor Moseley’s research lies at the intersection of
*operations research*, *theoretical computer science*, and *machine learning*.
His work focuses on the design and analysis of algorithms for
*decision-making under uncertainty*, including learning-augmented algorithms,
stochastic and online optimization, scheduling, clustering, and large-scale optimization.
A central theme of his recent work is developing algorithmic foundations that bridge theory and practice—combining worst-case guarantees with data-driven predictions to design robust, high-performance systems.
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His research has received multiple best paper awards, including the
[IPDPS](https://www.ipdps.org/) Best Paper Award (2015),
[SPAA](https://www.spaa-conference.org/) Best Paper Award (2013),
and the [SODA](https://www.siam.org/conferences/cm/conference/soda) Best Student Paper Award (2010),
and has been selected for oral and spotlight presentations at
[NeurIPS](https://neurips.cc/) and NIPS, including oral presentations at NeurIPS 2021 and NIPS 2017.
His work has been supported by grants from the
[National Science Foundation](https://www.nsf.gov/), the
[Office of Naval Research](https://www.onr.navy.mil/),
[Google](https://research.google/),
[Yahoo](https://www.verizon.com/about/news/yahoo-acquisition),
[Infor](https://www.infor.com/), and
[Bosch](https://www.bosch.com/), including an
[NSF CAREER Award](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1845146&HistoricalAwards=false).
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Professor Moseley is deeply committed to teaching, mentorship, and executive education.
He has developed and taught courses across the undergraduate, MBA, and MS programs on optimization,
machine learning, probability, and analytics, and led the creation of Tepper’s undergraduate minor in
*Business Analytics and Optimization*.
He also designs and delivers executive education programs on
*AI strategy and data-driven decision-making*, helping senior leaders evaluate, deploy, and govern
artificial intelligence in large organizations.
He was recognized as a
[Top 50 Undergraduate Business School Professor](https://poetsandquantsforundergrads.com/)
by *Poets & Quants*.
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Before joining Carnegie Mellon, Professor Moseley was an Assistant Professor in the
[Department of Computer Science and Engineering](https://cse.wustl.edu/) at
[Washington University in St. Louis](https://wustl.edu/).
He was previously a Research Assistant Professor at the
[Toyota Technological Institute at Chicago](https://www.ttic.edu/)
and a [Simons-Berkeley Fellow](https://simons.berkeley.edu/people/benjamin-moseley).
He received his Ph.D. in [Computer Science](https://cs.illinois.edu/) from the
[University of Illinois at Urbana–Champaign](https://illinois.edu/),
where he was advised by
[Chandra Chekuri](https://cs.illinois.edu/about/people/faculty/chekuri).