Summary
Nazli Farajidavar is a Senior Data Science Manager with over a decade of experience applying machine learning and AI to healthcare, medical imaging, and real-world data across academia and industry. She holds a PhD in transfer learning for computer vision and has led research and product efforts at King's College London, University of Oxford, IQVIA and Samsung, now driving data science at PureHealth from Abu Dhabi. Her work spans multi-view deep learning, unsupervised patient sub-typing from EHR free text, deployment of hospital alerting platforms, and sensor-based monitoring for dementia—connecting research prototypes to clinician-facing tools. Known for bridging technical teams and clinical stakeholders, she builds web interfaces and analytics platforms (SQL, Python, ElasticSearch, React) that make complex models usable in practice. Beyond publications, she has a track record of mentoring junior researchers and translating demonstrator systems into operational services. An experimentalist at heart, she combines academic rigor with production-minded engineering to move AI from notebooks into clinical impact.
10 years of coding experience
6 years of employment as a software developer
Amirkabir University of Technology
PhD, Transfer learning for computer vision, PhD, Transfer learning for computer vision at University of Surrey