Currently a postdoctoral researcher in the Algorithms and Complexity group at the University of Copenhagen, working with Mikkel Abrahamsen
Previously conducted research in computational geometry at the University of Bonn under Anne Driemel
Ph.D. work focused on classical problems including clustering, nearest neighbor identification, and curve segmentation
Developed approximation tools for polygonal curves using distance measures such as Fréchet Distance and Dynamic Time Warping (DTW)
Recent projects include polygon triangulations for finite element analysis, a well-behaved variant of the Art Gallery Problem, and generalized polygon shape matching
Background
Research focuses on computational geometry and algorithm design
Interested in how geometric structure influences what algorithms can and cannot do
Aims to understand the boundary between efficiently solvable and inherently hard problems
Primarily studies similarity measures for geometric objects (e.g., curves, trajectories), their algorithmic complexity, and applications in clustering, segmentation, and nearest-neighbor search
Interests have broadened to a wider range of geometric and combinatorial questions
Values the interplay between theory and experiment, often testing algorithms on real-world data