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Taban Baghfalaki is a Lecturer in Statistics at the University of Manchester. He specializes in statistical methodology with a focus on Bayesian statistics, joint modeling, missing data analysis, high-dimensional data analysis, and dynamic risk prediction. He is actively involved in supervising Master's dissertations and enjoys guiding students through complex statistical concepts, particularly in the context of longitudinal data analysis. Taban encourages prospective PhD students to engage with him for potential projects, emphasizing the importance of statistical methods in various applications including big data and medical analysis. His research interests include Joint Modeling of Longitudinal and Time-to-Event Data, Dynamic Risk Prediction, and Computational Statistics, making significant contributions to the field of statistics.
University of Manchester • Manchester, ENG, GB
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.