Laurits Larsen
PhD Student At DTU Compute at DTU - Technical University of Denmark
Copenhagen, Capital Region of Denmark
Summary
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Rockstar🎓
Top SchoolLaurits Larsen is a PhD student at DTU Compute specializing in uncertainty quantification for graph neural networks, with a specific focus on Bayesian approaches for molecular discovery. He blends interdisciplinary training in molecular biomedicine and machine learning to push computational methods toward real-world drug discovery and healthcare applications. His research includes novel contributions such as "Linearization Uncertainty" for assessing the reliability of autoregressive graph generators from a visiting researcher stint at the National Institute of Informatics. Prior roles range from building Python-based digitization tools for natural history collections to developing Django backends and analysis pipelines for gene expression at LEO Pharma, demonstrating both lab and software engineering fluency. Comfortable moving between wet-lab workflows and production code, he has a track record of rapidly learning new technologies and shipping pragmatic tools that streamline complex scientific pipelines. Based in Copenhagen, he expects to complete his PhD in September 2026 and is driven by translating rigorous uncertainty estimates into safer, more trustworthy molecular models.
4 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Machine Learning and Data Science, Bachelor's degree, Machine Learning and Data Science at Københavns Universitet - University of CopenhagenFrontierLab exchange studient at Research Institute for Microbial Diseases (RIMD), Department of Molecular Virology, FrontierLab exchange studient at Research Institute for Microbial Diseases (RIMD), Department of Molecular Virology at The University of OsakaHigh School, High School at Ørestad GymnasiumJapanese Language, Japanese Language at Kobe YMCA Language Center
Danish, English, Japanese
Github Skills (14)
pytorch-lightning9
hydra8
python7
pytorch6
lightning6
deep-learning6
machine-learning6
artificial-intelligence6
lifecycle6
scaling5
data-science5
ai5
infrastructure4
cost-management3
Programming languages (3)
Github contributions (5)
lauritsf/lauritsf
Jul 2022 - Nov 2024
Contributions:3 PRs, 18 pushes, 3 branches in 2 years 5 months
lauritsf/pinned-datamatrix-label-generator
Aug 2023 - May 2024
Contributions:3 releases, 6 PRs, 13 pushes in 9 months
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