Dr. Gah-Yi Ban (former spelling: Vahn) is an Assistant Professor of Management Science and Operations at London Business School. Gah-Yi's research is in Big Data analytics, specifically decision-making with complex, high-dimensional and/or highly uncertain data with applications in operations management and finance. Her research has been featured in Management Science, Operations Research Letters and the London Business School Review. She has held a visiting position at Columbia Business School, and has worked with various companies including Credit Suisse, EAT, Sberbank, Tata iQ and Zara.
Gah-Yi has a broad background in the mathematical sciences, with MSc/MA/PhD in Industrial Engineering/ Statistics/Operations Research from the University of California, Berkeley, and having majored in physics and mathematics at the University of Sydney, where she graduated from with 1st Class Honours and University Medal.
Gah-Yi was born in Seoul, South Korea, spent her formative years in Sydney, Australia, and has since lived and worked in San Francisco Bay Area, New York and London.