Summary
Katrine Killmann is a software engineer with a Ph.D. from Aarhus University's Data-Intensive Systems group and nine years of experience building high-performance data and GPU-accelerated solutions. Now at Databricks, she brings deep expertise in fast algorithms, parallelization, and real-world GPU optimization developed during a PhD project on fast, correct clustering in time and space. Her internship at NVIDIA produced a cuOPT linear programming proof-of-concept with reported speedups up to 5000x and led to subsequent conference presentations, showing a track record of translating research into production-impacting prototypes. She has extensive teaching experience across core CS courses, reflecting strong communication skills and a solid foundation in algorithms and databases. Based in Aarhus, Katrine combines academic rigor with pragmatic engineering to tackle large-scale data problems on modern hardware.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Aarhus University
Summer school in Effective High-Performance Computing & Data Analytics with GPUs, Passed, Summer school in Effective High-Performance Computing & Data Analytics with GPUs, Passed at The Swiss National Supercomputing Centre (ETH Zurich / CSCS) and Università della Svizzera italiana (USI)
High School, High School at Aalborghus Gymnasium
English, German, Danish