Dr Sarah Marshall

Sarah Marshall


Phone: +64 9 921 9999 ext 5414

Email: sarah.marshall@aut.ac.nz

Physical Address:
School of Computer & Mathematical Sciences
AUT Tower, Level 1
2-14 Wakefield St
Auckland 1010

Postal Address:

AUT School of Computer & Mathematical Sciences
Private Bag 92006
Auckland 1142
New Zealand



PhD in Management Science, University of Edinburgh, 2012
MSc in Statistics and Operations Research, Victoria University of Wellington, 2008
BSc in Operations Research and Psychology, Victoria University of Wellington, 2005
BCA in Economics, Victoria University of Wellington, 2005

Memberships and Affiliations:

Operational Research Society (United Kingdom)

Operations Research Society of New Zealand, Council Member, 2014 - present

Member of the Royal Society of New Zealand 

New Zealand Analytics Forum 


Dr Sarah Marshall joined AUT as a Lecturer in February 2014. Sarah completed a Bachelor of Commerce and Administration in Economics and a Bachelor of Science in Psychology and Operations Research at Victoria University of Wellington. After graduating, she worked in the Australian stockbroking industry before returning to New Zealand to complete a Master of Science in Statistics and Operations Research at Victoria University of Wellington. Sarah completed her PhD in Management Science on the application of deterministic and stochastic models to product recovery systems at the University of Edinburgh in 2012. Sarah taught in the Department of Management Science at the University of Strathclyde in Glasgow for three years before beginning her current position at AUT.  

Sarah is a member of the Mathematical Sciences Research Group and the Data Science Research Group.  Her research focuses on the use of stochastic modelling to address problems of interest to business and industry. Examples of application areas include remanufacturing systems, inventory management and warranty costs analysis.

Sarah has a keen interest in analytics and regularly attends the NZ Analytics Forum.  Sarah is the Industry Liaison for the Master of Analytics and welcomes enquiries from organisations interested in engaging with AUT through student projects.

Teaching Areas:

  • Applied Statistics
  • Applied Stochastic Models
  • Probability
  • Operations Research

Research Areas:

  • Stochastic Modelling
  • Markov Decision Processes
  • Product Recovery Systems
  • Inventory Management
  • Remanufacturing
  • Warranty Cost Analysis

Last updated: 08-Feb-2017 2.04pm

The information on this page was correct at time of publication. For a comprehensive overview of AUT qualifications, please refer to the Academic Calendar.