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Writer's pictureClement Twumasi

Brief description about Clement

Updated: Aug 14, 2020

Clement is currently a PhD student in the Cardiff University School of Mathematics, UK with a specialty in mathematical modelling of infectious diseases and biological systems, by developing novel stochastic simulation models as well as novel parameter estimation techniques such as Approximate Bayesian Computation. He received his training on disease modelling from Cambridge. He has a strong and robust academic background in both Mathematics and Statistics. As an excellent student with accolades, he won two prestigious international PhD Vice Chancellor's Scholarships from both Cardiff University and Leeds University. During his master’s program in statistics (MPhil) at University of Ghana, he had an unprecedented GPA of 4.0 out of 4.0 (All A's) and his MPhil thesis (Markov Modelling of HIV, TB and Hepatitis B transmission) was awarded the overall best project in Ghana among all universities. He has great modelling and programming skills with advanced knowledge in Machine learning algorithms (Classification tree, Random forest models, etc.), developing novel Compartmental models as well as Stochastic models. He also has advance knowledge in other statistical areas which includes Bayesian Inference, Regression model including Generalized Linear Mixed and Additive Mixed models, Stochastic processes, Survival Analysis, Functional Data Analysis, Time series models and other general classical statistics. He programs effectively in both R and Python; amidst lots of other statistical software (STATA, Eviews, Minitab, IBM SPSS and Getl) he uses effectively. He effectively writes scientific reports in LaTeX. Currently, he has won several awards and competitions and the UK at the PhD level. Clement was selected among 200 most exceptional mathematicians and computer scientists worldwide of their generation by international experts for the 8th Heidelberg Laureate Forum, Germany 2021: https://www.heidelberg-laureate-forum.org/ (see, CV below the website page for detailed info).

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