Andrej Dvornik
From galaxies to algorithms: finding patterns in complexity.
Hi, I’m Andrej — an astrophysicist and data scientist with a love for exploring the hidden structure of the Universe. My work focuses on how galaxies and dark matter are connected, and I spend a lot of time turning huge amounts of data into meaningful insights using Python, statistics, and machine learning.
Over the years, I’ve co-authored nearly 50 scientific papers, built tools and models used in international research collaborations, and had the chance to share my work at conferences around the world. I also enjoy mentoring students and making science accessible through teaching and public outreach.
Beyond the research, I’m passionate about problem solving, building efficient workflows, and finding creative ways to apply scientific thinking outside of academia.
selected publications
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KiDS-Legacy: Covariance validation and the unified ONECOVARIANCE framework for projected large-scale structure observablesA&A, Jul 2025
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The halo model with beyond-linear halo bias: unbiasing cosmological constraints from galaxy-galaxy lensing and clusteringMNRAS, Sep 2022
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Bright galaxy sample in the Kilo-Degree Survey Data Release 4. Selection, photometric redshifts, and physical propertiesA&A, Sep 2021
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The galaxy–dark matter connection: a KiDS studyUniversity of Leiden, Netherlands, Jan 2019
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