Leander Kurscheidt is a Ph.D. student at the April Lab, University of Edinburgh, specializing in tractable probabilistic machine learning with a focus on deriving and interpreting challenging integrals. With 11 years of hands-on experience spanning research assistantships in autonomous driving, outlier detection, and transfer learning, he blends deep theoretical rigor with practical programming skills. He co-founded and organized tech initiatives (hackathons, talks, bootcamps) and helped run ML-KA’s theory-paper discussion group, reflecting a commitment to community-building and teaching. Comfortable turning proofs into code, he pursues clarity as much as state-of-the-art results, and outside research he’s an avid listener of electronic music and fan of media-art installations.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Karlsruhe Institute of Technology (KIT)
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Tuebingen
Abitur, Abitur at Otto-von-Taube-Gymnasium Gauting
analysis of the research output machine learning in germany
Contributions:5 PRs, 18 pushes, 2 branches in 2 years 5 months
nlpanalysismachine-learningresearch-output
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Leander Kurscheidt - Ph.D. Student at The University of Edinburgh