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Seyma’s research lies at the intersection of methodological and computational econometrics in high-dimensional time series analysis. Her Ph.D. research, supervised by Professor Gary Koop and Professor Julia Darby at the University of Strathclyde, focused on developing innovative Bayesian estimation and forecasting methods for multivariate dynamic models, with applications to financial downturns and macroeconomic forecasting. Her broader research vision is to contribute to the future of econometrics, grounded in strong computational and programming capabilities. Seyma’s current work at King's College London bridges methodological insight with interpretable, scalable, and reproducible estimation and forecasting tools by integrating structures, probabilistic reasoning, and efficient algorithms in macroeconomic and financial analysis.
Seyma Vahap
Qatar Centre for Global Banking and Finance
Email is the best way to reach me: seyma.vahap@kcl.ac.uk
or my personal email seymawahab@gmail.com