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Gah-Yi Ban

Assistant Professor of Management Science and Operations

PhD (Berkeley) MA (Berkeley) BSc (University of Sydney)

Dr. Gah-Yi Ban is an Assistant Professor of Management Science and Operations at London Business School. Her research is in Big Data analytics, specifically decision-making with complex, high-dimensional and/or highly uncertain data with applications to operations management (main) and finance. Gah-Yi's research has appeared on most-downloaded lists of Management Science and Operations Research, and awarded Honorable Mention in 2018 INFORMS JFIG Paper Competition. In addition, Gah-Yi has held a visiting position at Columbia Business School and has worked with or consulted for various companies from technology start-ups to global retail and financial services. Gah-Yi teaches core courses across several programs at LBS, and was honoured with the MIM Best Teacher Award in 2018.

Gah-Yi was born in Seoul, South Korea, spent her formative years in Sydney, Australia, and has since lived and worked in the San Francisco Bay Area, New York and London.


The big data newsvendor: practical insights from machine learning

Ban G-Y; Rudin C

Operations Research 2019 Vol 67:1 p 90-108


Dynamic procurement of new products with covariate information: the residual tree method

Ban G-Y; Gallien J; Mersereau A

Manufacturing & Service Operations Management 2018 Online first

Machine learning and portfolio optimization

Ban G-Y; El Karoui N; Lim A E B

Management Science 2018 Vol 64:3 p 1136-1154


Can machine learning save the planet?

Ban G-Y

London Business School Review 2017


Business analytics in the age of big data

Ban G-Y

Business Strategy Review 2014 Vol 25:3 p 8-9


Robust portfolio choice with learning in the framework of regret: Single period case

Lim A E B; Shanthikumar J G; Ban G-Y

Management Science 2012 Vol 58:9 p 1732-1746


Conditional value-at-risk in portfolio optimization: Coherent but fragile

Lim A E B; Shanthikumar G J; Ban G-Y

Operations Research Letters 2011 Vol 39:3 p 163-171


Modeling light propagation in photonic crystal devices

Ban G-Y; White T P; Steel M J; de Sterke C M; Dossou K; Botten L C

Journal of Applied Physics 2007 Vol 102


Research grants/fellowships


2012-2019 Research And Materials Development Fund, London Business School


  • 2015 Deloitte Institute of Innovation & Entrepreneurship Research Award

  • 2008-2011 University of Sydney Alumni Traveling Scholarship

  • 2009 IEOR Faculty Fellowship, UC Berkeley

  • 2007-2008 UC Berkeley College of Engineering Fellowship


Prizes/ Awards


2018 Honorable Mention, INFORMS JFIG Paper Competition

2018 Best Teacher Award, Master in Management

  • 2011 Katta Murty Best Paper Prize in Optimization, UC Berkeley

  • 2007 University Medal in Physics, University of Sydney

  • 2006 The Walter Burfitt Scholarship No. 2 for Physics

  • 2006 School of Physics-Julius Sumner Miller Scholarship No. 3

  • 2005 Science Foundation for Physics Scholarship No. 2

  • 2004-2005 Dean's Honour List for the Faculty of Science

  • 2003 Farrand Science Scholarship

  • 2003-2006 Kwanjeong Educational Foundation Scholarship

  • 2003-2006 University of Sydney Scholarship of Merit

  • 2002 Korean Ministry of Education Prize for Academic Excellence

  • 2002 Australian Student Prize


Contact Zainab Mehr


Research Interests

  • Machine learning & statistics

  • Inventory & revenue management

  • Quantitative finance

  • Sustainable operations

Business analytics in the age of Big Data

Gah-Yi Ban

Descriptive and predictive analytics with Big Data are becoming more prevalent in a wide range of industries

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Can machine learning save the planet?

Gah-Yi Ban

Dr Gah-Yi Ban explains that inventory theory combined with Big Data could help address the problem of global waste

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