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Dr Michel F. C. Haddad

Michel F. C.

Associate Professor in Business Statistics

Email: m.haddad@qmul.ac.uk
Room Number: Room 3.44b, Francis Bancroft Building, Mile End Campus

Profile

Roles:

  • Associate Professor in Business Statistics
  • Director of the Computational and Quantitative Methods (CQM) Research Cluster
  • Member of the Department of Business Analytics and Applied Economics

Biography:

Dr Michel is an Associate Professor in Business Statistics. His research interests are divided into two streams. Primarily, he proposes novel statistical and machine learning methodological innovation, notably within time series and unsupervised learning. The second research stream focuses on applied econometric modelling and machine learning to extract insights exploring relevant real-world data (e.g. financial time series, Covid-19 data).

Before joining the Queen Mary University of London, he did two postdocs, working on artificial intelligence explainability in the financial sector (The Alan Turing Institute) and modelling economics/ systems transition (University of Cambridge). His PhD is from University of Cambridge.

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