I am a university teacher at the Department of Computer and Systems Sciences at Stockholm University. The focus of my research is privacy-preserving techniques in natural language processing.
I have a PhD in computer science and natural language processing, and I defended my thesis in January 2026. I have an engineering background and worked in the tech industry as an IT consultant before starting my PhD, primarily as a back-end developer and data engineer.
Research
My research is focused on examining the extent to which LLMs leak information about their training data — and how to mitigate these risks. This includes exploring different attacks, such as training data extraction attacks and membership inference attacks. I have also conducted experiments on how automatic de-identification and data synthetization impact data utility for machine learning purposes.
In addition to these privacy-oriented research interests, I am also very excited by research in NLP for under-resourced languages, bias in machine learning, NLP for the social sciences, and clinical NLP.
Teaching
I teach several courses and I also supervise bachelor's and master's theses. I am teaching or have taught in the following courses:
- Natural language processing – NLP
- Internet Search Techniques and Business Intelligence
- Language Technology – human languages and computers
- Digital business strategies and change management
Read more about my courses, teaching materials, and thesis supervision.