Who am I?
PHD RESEARCH FELLOW | STATISTICIAN | DATA SCIENTIST
From a young age, I have been fascinated by mathematics, science and history. Although I once dreamed of becoming a professional handball player, it was during my university studies that my passion for data truly emerged. Enrolling in an Actuarial Science programme allowed me to build a strong foundation in statistics, data analysis and quantitative reasoning.
Over time, I transitioned from an Actuarial Intern to a Data Analyst in Kenya’s telecommunications sector, before moving to Sweden to pursue a Master’s degree in Statistical Modeling and Data Science at Örebro University. As part of the EMOS (European Master in Official Statistics) track, I worked with labour force surveys, satellite data and small-area estimation models. I also contributed to projects at Statistics Sweden and represented Sweden at the European Big Data Hackathon, gaining valuable experience in geospatial analytics, statistical modelling and data-driven policy-making.
Having completed my graduate studies, I’m now a PhD researcher at the Western Norway University of Applied Sciences in Bergen, developing robust machine learning methods for high energy physics, alongside research assistant work at Sörby Economics AB’s AI-Econ Lab, building and maintaining public data tools including the DAIOE Explorer and the AI in Demand monitor pipeline.