Research output per year
Research output per year
My research interests lie in empirical asset pricing, credit risk modelling, and volatility dynamics, with a focus on uncovering patterns in asset returns and improving risk assessment frameworks. I am particularly interested in integrating advanced data science techniques with financial theory to develop robust, interpretable models for decision-making under uncertainty. In parallel, I bring a strong commitment to ethical and responsible data use, with experience in privacy-enhancing technologies, algorithm auditing, and bias detection. I aim to contribute to rigorous, interdisciplinary research that advances both financial modelling and responsible AI practices, as I prepare to pursue a PhD in a leading academic environment.
Data Science, MSc., Applying Machine Learning Techniques to Overcome Imbalanced Datasets in Credit Risk Assessment for P2P Lending, Middlesex University
Award Date: 20 Dec 2023
MSc, Economics and Business Administration, The Relationship Between Earnings and Cash Pay-out In Forms Of Dividend Payments And Share Repurchases, NHH Norwegian School of Economics
Award Date: 24 Dec 2013
Research output: Contribution to journal › Article › peer-review