معرفی
Agni Orfanoudaki serves as an Associate Professor of Operations Management at the University of Oxford's Saïd Business School and holds a Fellowship in Management Studies at Exeter College. She concurrently maintains a visiting scholar position at Harvard Kennedy School as a Harvard Data Science Initiative fellow. Her academic journey includes a Ph.D. in Operations Research from MIT and undergraduate studies at Athens University of Economics and Business.
Her research focuses on developing machine learning algorithms to address real-world data imperfections—including missing values, censored observations, and unobserved counterfactuals—with applications in healthcare and insurance. Key contributions include predictive models for cardiovascular/cerebrovascular diseases and COVID-19 patient care, alongside pioneering the field of algorithmic insurance through quantitative frameworks for litigation risk assessment of ML models. She emphasizes interpretability and system design for seamless healthcare integration.
Orfanoudaki leads the Data Driven Decisions Lab (3DL), collaborating with eight+ US/European hospitals, major medical societies, and international reinsurers. Her teaching spans MBA/EMBA Technology and Operations Management courses and the Oxford AI Ethics, Regulation and Compliance Programme, supplemented by machine learning instruction for Exeter College undergraduates.
