Thomas Kobber Panum

I am a PhD student at Department of Electronic Systems, Aalborg University (AAU) working on security aspects of machine learning, and applied cases of machine learning in adversarial settings.

After obtaining a M.Sc. in Machine Intelligence (thesis) and B.Sc. in Software Engineering from AAU, I went onto become a data scientist and utilize machine learning for a variety of business applications. These applications spanned across multiple fields, such as: medical (Enversion), insurance (Ecsact, Tryg Insurance) and logistics (Ecsact).

The research conducted throughout my PhD is set out to improve the robustness of phishing detection models by a set of empirical studies, that leads to more fundamental research that address the underlying methodologies and theories.