About

I am a Tenure Track Assistant Professor for Machine Learning in the Theoretical Computer Science division at KTH Royal Institute of Technology in Stockholm, Sweden. I am broadly interested in theoretically grounded yet practically useful methods for machine learning and data science, especially for applications in the natural sciences. My research lies at the intersection of foundational machine learning, responsible AI, and algorithms for data analysis.

Previously, I completed my PhD under the supervision of Prof. Dr. Jilles Vreeken, with affiliations to the Max Planck Institute for Informatics, the CISPA Helmholtz Center, and the University of Saarland. Following that, I moved to KTH as a postdoctoral researcher hosted by Prof. Dr. Aristides Gionis.

Acknowledgements

My research is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP), and the Swedish Research Council (Vetenskapsrådet).