Gah Yi Ban

Dr. Gah-Yi Ban is an Associate Professor of Decision, Operations and Information Technologies at Robert H. Smith Business School, University of Maryland. Her research is in Big Data analytics; specifically, decision-making with complex, high-dimensional and highly uncertain data with business applications. Gah-Yi's research has been honored with the 2021 Best OM Paper in Operations Research award, 2019 INFORMS Data Mining Section Best Paper Award (finalist) and 2018 INFORMS JFIG Paper Competition (Honorable Mention). Gah-Yi is currently the Chair of Supply Chain SIG of M&SOM society, an associate editor of Management Science, M&SOM and Operations Research Letters, and a member of the World Economic Forum Expert Network. Gah-Yi has taught across MIM, FT and PT MBA, Executive MBA and PhD programs and has been honored with a Best Teacher Award, named one of Poets & Quants World's Best 40 Under 40 MBA Professors and Britannica's 20 Under 40 Young Shapers of the Future (Education). She has also delivered a TEDx talk, "The Power and Perils of Algorithms".

Gah-Yi was born in Seoul, South Korea, spent her formative years in Sydney, Australia, and has since lived and worked in the U.S. and the U.K. In her spare time she enjoys running and triathlon.

Companies

• Amazon Visiting Academic Amazon (2021)
• Associate Professor of Decision, Operations & Information Technologies University of Maryland - Robert H. Smith School of Business (2020)
• Assistant Professor of Management Science & Operations London Business School (2012 — 2020)
• Visiting Faculty Columbia University - Columbia Business School (2016 — 2016)
• Graduate Student Instructor & Researcher UC Berkeley (2008 — 2012)
• Quantitative Summer Associate Credit Suisse (2008 — 2008)