Sebastian Mežnar

Young Researcher at Jozef Stefan Institute

Portorož / Portorose, Slovenia
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Summary

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Senior
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Sebastian Mežnar is a young researcher and PhD candidate in Information and Communication Technologies with eight years of experience applying machine learning, data science, and mathematics to research problems. Based at the Jožef Stefan Institute and teaching discrete math and introductory ML at the University of Ljubljana, he blends academic rigor with hands-on investigation of ML methods. His background spans student research roles to current research projects, underpinned by MSc and BSc training in mathematics and computer science. Comfortable writing production code from earlier industry summers, he brings both theoretical depth and practical implementation skills. Colocated in Portorož, Slovenia, he’s building toward research that connects formal mathematics with applied ML—often exploring less obvious theoretical aspects that improve model reliability.
code8 years of coding experience
job3 years of employment as a software developer
bookDoctor of Science, Information and Communication Technologies, Doctor of Science, Information and Communication Technologies at Mednarodna podiplomska šola Jožefa Stefana
bookBachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of Ljubljana, Faculty of Computer and Information Science
bookMaster's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at University of Ljubljana, Faculty of Mathematics and Physics
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Stackoverflow

Stats
11reputation
2kreached
0answers
1question
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Github Skills (25)

tree10
data-structure9
algorithm9
algorithms9
python9
variational-autoencoder9
graph9
graph-embedding9
generative-model9
symbolic-regression8
data-structures8
unsupervised-learning8
interpretable-machine-learning8
vector-space8
ontology8

Programming languages (4)

MakefileHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:1 PR, 87 pushes, 2 comments in 1 year 6 months
smeznar/SNoRe

Jul 2020 - Nov 2021

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Contributions:20 commits, 1 PR, 10 pushes in 1 year 4 months
unsupervised-learninggraph-embeddinggraph-learninginterpretable-machine-learningnode-prediction
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