معرفی
Dr. Michel F. C. Haddad is an Associate Professor in Business Statistics at Queen Mary University of London, serving as Director of the Computational and Quantitative Methods (CQM) Research Cluster and a member of the Department of Business Analytics and Applied Economics. He holds a PhD from the University of Cambridge and has conducted postdoctoral research at The Alan Turing Institute and the University of Cambridge, focusing on AI explainability and economic systems modeling.
His research spans two core areas: methodological innovations in statistical and machine learning (e.g., time series, unsupervised learning) and applied econometric modeling for real-world data (e.g., financial markets, pandemic analysis). Notable achievements include an Honorable Mention for Best Research at the Early Career Researchers Conference (2017) and full-time PhD scholarships from CAPES and Cambridge Trusts (2015–2019).
Teaching contributions include awards for supervision and lecturing at Cambridge (2017–2019), and courses such as BUS135 and BUS164. He actively supervises PhD students José Medina-Reyes, Cagri Yuksel, and Yuanzhe Li. His work explores intersections between quantitative methods and societal challenges, with a focus on climate policy, financial systems, and health economics.
