Gabriel Kallah-Dagadu (BSc. (Legon, Ghana), MPhil. (Legon, Ghana), Ph.D (UCC,Ghana))

Research interest 
Applied Statistics and Probability:
My research interests are centred on statistical methodologies with real life applications, such as biological research, agriculture, social science, population growth and finance. Precisely the following areas are of interest:
1. Parametric and semi-parametric modelling of financial data.
2. Multivariate point processes for modelling occurrences of events.
3. Bayesian networks for modelling of complex biological interactions.
4. Application of artificial intelligence and machine learning in medical research, healthcare, finance and population growth.

Current research/project(s)
Currently, am working on the methodology of a novel Dynamic Bayesian Network models which is tailor-made for the circadian clock network. In this study, the traditional Dynamic Bayesian Network models will be extended by taking the periodic diurnal nature of the process into account and by systematically including all the relevant external factors. The new advanced Bayesian network models will then be applied to reverse-engineer the circadian clock network and all the interactions between the circadian clock network and the plant metabolism from the available gene expression data sets.  The extracted regulatory networks will provide new insights into how the circadian clock activates the plant metabolism. On the long term, this knowledge of the relationships at the molecular level can be exploited to improve plant growth and thus to optimize crop productivity in Ghana.

Recent publications

1. Kallah-Dagadu, G., Nkansah, B. K., & Howard, N. (2018). Probabilistic graphical modelling of causal effects among the occurrences of transcription factors in DNA sequence. JB Journal of Biostatistics, Vol. 15 (1), 39-64.

2. Kallah-Dagadu, G., Nkansah, B. K., & Howard, N. (2018). Flexible Statistical Modelling of Occurrences of Transcription Factors. Advances and Applications in Statistics, Vol. 53(6), 659–691.

3. Kallah-Dagadu, G., Nortey, E. N. N., & Doku-Amponsah, K. (2018). Modelling Ghana Stock Exchange Indices with Stable Distributions. CBAS Journal, University of Ghana.

Professional membership(s)
1. University Teachers Association, University of Ghana. (UTAG-UG)
2. Ghana Statistical Association (GSA)