Nausheen Basha is a chartered engineer with experience in computational fluid dynamics (CFD) and engineering management. She has multiple research publications in the application of CFD to oil-injected compressors and filters to improve efficiency and conserve energy. She has received an ‘outstanding’ award by Innovate UK for her work in modelling air-oil separators. She graduated with a master’s degree in Aerospace Engineering from The University of Manchester and is on track to graduate with a PhD degree from the City University of London. Currently, she works at Imperial College London managing a UKRI funded project that aims at advancing machine learning and AI to create ultra-fast predictive models in multiphase flow systems for application in various sectors including manufacturing, energy, and healthcare. Nausheen’s interests are fluid dynamics, computing and improving diversity in engineering. Nausheen strives to promote young girls into STEM and aims to spread awareness about EDI in engineering. She is an active member of the Institution of Mechanical Engineers and Women’s Engineering Society – where she also contributes to blog posts. Before moving to the UK, Nausheen has lived in UAE and India.