Biography
Max Chipulu is a research professor of operations and analytics at Edinburgh Napier University. His research focuses on data analytics adoption (including AI) in complex operations management environments, particularly projects, and its intersections with organisational culture, ethics, and sustainability. He is also interested in pedagogy for quantitative business courses, emphasising learning analytics and AI.
He serves as Associate Dean, Research and Innovation for The Business School, lead of the Napier Applied Business Research for Society (NABRS) research group and thematic lead for enterprise data at the Centre for Business Innovations and Sustainable Solutions (CBISS).
Max holds a PhD in Management Sciences and Statistics, an MSc in Management Sciences, and a BEng in Mechanical Engineering, all from the University of Southampton, United Kingdom.
He has published over 80 peer-reviewed articles in reputable international journals such as IEEE Transactions on Engineering Management, Supply Chain Analytics, International Journal of Operations & Production Management, Journal of Business Ethics, International Journal of Forecasting, and others; has secured significant research funding from prestigious bodies (e.g., EIT Urban Mobility, The Royal Society of Edinburgh); actively contributes to the field through peer review, editorial board memberships (e.g., Informs Transactions on Education, Project Management Journal, British Academy of Management Peer Review College), and grant assessment (e.g., UKRI, The International Science Partnerships Fund) and serving on advisory groups (e.g., Advisory Group on Supporting Scotland's Postgraduate Researchers).
Max regards teaching, learning and the student experience extremely importantly. Recognised as a senior fellow of Advance HE, Max was a two-time nominee of the Vice Chancellor’s Award in the Teaching Innovation category at Southampton (2017 and 2021), and a winner of the Advance HE Collaborative Award for Teaching Excellence (CATE, 2018). He leads core modules in Prescriptive Analytics and the Analytics Final Project within the MSc Business Analytics program. He also teaches undergraduate and professional development courses in Data Analytics and AI adoption.