Gah-Yi Ban

Assistant Professor of Management Science and Operations

PhD MA (Berkeley) BSc (University of Sydney)

Gah-Yi’s research is in Big Data analytics; specifically, decision-making with complex, high-dimensional and highly uncertain data with business applications. Her research features in the 10 most read articles list for a top academic journal (Operations Research), and was awarded Honourable Mention in 2018 INFORMS JFIG Paper Competition. Gah-Yi is a member of the World Economic Forum Expert Network, Chair of Supply Chain SIG of M&SOM society, and an associate editor of Service Science and Management Science. Gah-Yi teaches core courses across several programs at LBS, co-developed the Global Business Assignment on Digital Disruption and Innovation to San Francisco & Silicon Valley, and was honoured with the MIM Best Teacher Award in 2018. In 2019, she was invited to speak at TEDxLBS, where she delivered a talk on "The Power and Perils of Algorithms."

Masters in Management

  • Decision & Risk Analysis

EMBA Global

  • Decision Models

  • Global Business Assignment- San Francisco/Silicon Valley


  • Advanced Optimization


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

  • 2019 Finalist, INFORMS Data Mining Section Best Paper Award

  • 2019 Management Science Distinguished Service Award 

  • 2018 Honorable Mention, INFORMS JFIG Paper Competition

  • 2018 Management Science Distinguished Service Award

  • 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

  • 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

  • Machine learning & statistics

  • Inventory & revenue management

  • Quantitative finance

  • Sustainable operations


Confidence intervals for data-driven inventory policies with demand censoring

Ban G-Y

Operations Research 2019 Vol 68:2 p 309-326

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

Ban G-Y; Gallien J; Mersereau A

Manufacturing & Service Operations Management 2019 Vol 21:4 p 713-948

The big data newsvendor: practical insights from machine learning

Ban G-Y; Rudin C

Operations Research 2019 Vol 67:1 p 90-108


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

Teaching portfolio

Our teaching offering is updated annually. Faculty and programme material are subject to change.