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Welcome to my personal website. It's great to have you view works and show your interest in collaborating.
I am a Christian, a minister of the gospel, a leadership coach, and a Statistician.
My research work is focused on developing statistical methods to account for biases in biodiversity data. My modelling competencies span a wide range of ecological models: Species Distribution Model, Spatio-temporal modelling, Integrated Distribution/Population modelling, etc.
I am also particularly interested in how Statistics can be applied to theological and daily church affairs.
I am currently employed as a Researcher with the Department of Terrestrial Biodiversity at the Norwegian Institute for Nature Research.
Software Competencies:
Educational Background:
Publications
Here is a list of scientific publications:
1. Simmonds, E. G., Adjei, K. P., Andersen, C. W., Aspheim, J. C. H., Battistin, C., Bulso, N., ... & O’Hara, R. B. (2022). Insights into the quantification and reporting of model-related uncertainty across different disciplines. Iscience, 25(12).
2. Simmonds, E. G., Adjei, K. P., Cretois, B., Dickel, L., González-Gil, R., Laverick, J. H., ... & O'Hara, B. (2023). Recommendations for quantitative uncertainty consideration in ecology and evolution. Trends in Ecology & Evolution.
Here is a list of preprints of scientific work yet to be published:
1. Adjei, K. P., O'Hara, R. B., Koch, W., & Finstad, A. (2023). Modelling heterogeneity in the classification process in multi-species distribution models can improve predictive performance. arXiv preprint arXiv:2305.01989.
2. Adjei, Kwaku Peprah., Mostert, Philip., Sicacha-Parada, Jorge., Skarstein, Emma., O’Hara, Robert Bob (2023) The point process framework for integrated modelling of biodiversity data.
3. Adjei, Kwaku Peprah., Sicacha-Parada, Jorge., O’Hara, Robert Bob., Steinsland, Ingelin (2023). A structural model for the process of collecting biodiversity data
4. Adjei, Kwaku Peprah., Nick, Isaac., Mancini, Francesca., O’Hara, Robert Bob., Carvell, Claire (2023). Integrating data from different taxonomic resolutions to better estimate community alpha diversity.
5. Adjei, K. P., Cooke, R., Isaac, N., & O'Hara, R. B. (2024). A sequential Monte Carlo algorithm for data assimilation problems in ecology. arXiv preprint arXiv:2401.06515..
6. Adjei, K. P. (2019). Diagnosing model deviations in the N-Mixture models: A case study of Binomial N-Mixture models (Master's thesis, NTNU).
Here is a list of R-packages written:
1. nimMCMCSMCupdates: an R-package for Sequential Monte Carlo methods for data assimilation problems in ecology
2. nimbIMC: an R-package for using NIMBLE to implement Markov Chain Monte Carlo with Integrated Nested Laplace approximation.
Interests
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Contact
I can be contacted through my media handles: LinkedIN, Facebook, Orchid ID and Reserachgate.