- Tree based machine learning methods (boosted trees, random forest etc).
- Statistical methods for house price prediction.
- Computational statistics.
I am an industrial PhD candidate at the Statistics and Data Science group at Department of Mathematics.
My PhD project (Uncertainty in house price prediction, 2021-2024) aims to study methods for house price prediction, with special interest in the uncertainty associated with a prediction. We are especially interested in uncertainty in tree based methods for supervised machine learning, such as random forest and boosted trees.
I completed my MSc in Industrial Mathematics from NTNU in Trondheim in 2019, where I also spent one academic year at TU Berlin in Germany. I have previously worked as a consultant for Deloitte.