Marjan Olfati is a Doctoral Candidate in Management Studies at Brunel University of London, where she was awarded the prestigious Brunel University Studentship to pursue her PhD research. Her work focuses on post-consumption in the fashion industry, advancing circularity through reverse logistics and policy interventions. Integrating sustainable supply chain design with practical policy insights, her research aims to support both industry practitioners and policymakers in developing effective circular economy strategies.

She currently serves as a Teaching Assistant at University College London (UCL) for Operations & Technology and has held academic positions as a Visiting Lecturer at Bayes Business School, City, University of London, where she taught Operations and Supply Chain Management. At Brunel University, she has worked as both a Graduate Teaching Assistant and a Research Assistant, delivering teaching in Operations Management for undergraduate and postgraduate students since 2023.

Her research expertise spans logistics, supply chain management, and operations research, supported by publications in peer-reviewed journals such as Socio-Economic Planning Sciences, Journal of Cleaner Production, and RAIRO – Operations Research. She has participated in leading international conferences, including EURO, INFORMS, and the OR Society, and her work has been recognised with Brunel University’s Vice-Chancellor’s Prize for Postgraduate Research.

Beyond academia, Marjan has professional experience in production planning and inventory management. She is passionate about bridging research and practice to design circular supply chains that can drive systemic change in industries.

Prior to her doctoral studies, she earned an MSc in Industrial Engineering from the Iran University of Science and Technology, graduating with First-Class Honours. Her master’s thesis, “Designing and Solving a Reverse Logistics Network for Polyethylene Terephthalate Bottles,” laid the foundation for her subsequent research on sustainable supply chains. During this programme, she developed advanced skills in modelling, optimisation, and data analytics, further reflected in her published work on sustainable supply chains.