Education: M.Sc. Bioscience, University of Oslo (2021) Direction: Biodiversity and Systematics, focusing on Phylogeny, Ethnobotany and Conservation.
Publications: 2018-2025, Co-author of articles to be published concerning the plant genus Kalanchoe in Kenya.
- Molecular phylogeny and taxonomy of the genus Kalanchoe (Crassulaceae subfam. Kalanhoidae) using angiosperm 353; Focus on Kenyan taxa within the floral boundaries of tropical Africa.
- Current conservation status of the genus Kalanchoe (Crassulaceae) in Kenya, East Africa (Bradleya Journal)
- Utility and ethnotaxonomy of the succulent plant genus Kalanchoe (Kalanchoidae; Crassulaceae) in Kenya, East Africa (Journal of East African Natural History)
-Took part in fieldwork and data collection, was in charge of DNA extraction(modified CTAB and kits), provided feedback and created data figures and maps for all publications(Python and QGIS).
Thesis Abstract: East Africa is one of the main centres of species diversity within Kalanchoë, an important genus for maintaining ecosystem functioning in dry environments. Many species of Kalanchoë are also known for their ethnobotanical value, including for medicinal and ornamental use. However, little is known about the phylogenetic relationship among the species, as well as the ethnobotanical value of the genus in the region. The presented phylogenetic study included about 30% of all Kalanchoë species within the genus, whereof about half of the species native to continental Africa, and nearly 70 % of the native East African species. The study provides the first phylogeny of Kalanchoë estimated from nuclear regions using the universal Angiosperm 353 bait panel, as well as the first comprehensive ethnobotanical survey on the use of the genus in East Africa. The reconstructed phylogeny shows that East Africa hosts species of Kalanchoë with a high molecular diversity as they resolve in many different subclades, while the ethnobotanical findings are that the genus is a valuable medicinal plant in the region with widespread uses, predominantly used to treat a wide range of infections, inflammatory conditions, and to relieve pain. Nearly half of occurring species have known use, whereof the species K. densiflora was the most utilized with 40 % of all retrieved use-records. The findings make an important foundation for conservation, management, and further research on the genus.
Here are a couple of small Data Analysis Projects I have done for fun:
Global Air Pollution (WHO)
Goal: Explore the WHO’s Global Air Pollution Data to create an overview of its sources, the concentrations of pollutants, timelines and trends, and the regions/cities most affected by pollutants.
Skills: Python, Data Preparation, Data Analysis, Visualizations (Including timelines, combined horizontal barplot, histograms, boxplots. correlation matrix).
See project and code: Global Air Pollution code, visualizations and insights
IUCN Red List of Threatened Species
Goal: To investigate the overall comprehensiveness of the Red List, and if there are considerations that need to be taken if using the list as a guideline for wildlife conservation actions and measures.
Skills: Python, Data Preparation and Manipulation, Data Analysis including Correlation Analysis, Customized Data Visualization.
View code: Here
Iris Dataset
Goal: Explore species feature variation within (intra) and between (inter) three species of Iris found in North America. The results can be used for species classification and further development of Machine Learning models for classification.
Skills: Python, Data Preparation, Data Analysis, Correlation Matrices, and various Visualizations (including heatmap, violin plot, bar plots, boxplots, KDE plot) and PCA.
See project and code: Iris Data Exploration code, visualizations and insights
Rocket Alarms (flight alarms) in Israel
Goal: Explore the dataset and gain insights. Mini project.
View code: Here
Womens Fitness App
Goal: Analyze customer behaviour data and provide recommendations for features and further product development.
Skills: Data Preparation and Manipulation, Data Analysis, Data Visualization.
See project and code: View case study with code