Sebastian Mežnar
Young Researcher at University of Ljubljana, Faculty of Mathematics and Physics
Portorož / Portorose, Slovenia
Summary
👤
Senior🎓
Top SchoolSebastian 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.
8 years of coding experience
3 years of employment as a software developer
Doctor of Science, Information and Communication Technologies, Doctor of Science, Information and Communication Technologies at Mednarodna podiplomska šola Jožefa StefanaBachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of Ljubljana, Faculty of Computer and Information ScienceMaster's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at University of Ljubljana, Faculty of Mathematics and Physics
Github Skills (22)
data-structure10
tree10
graph9
representations9
data-structures8
python8
algorithms8
algorithm7
ontology7
unsupervised-learning7
equation7
generative6
evaluation6
knowledge-graph5
deep-learning5
Programming languages (4)
Github contributions (5)
smeznar/Epidemic-spreading-CN2020
Sep 2020 - Feb 2021
Contributions:6 commits, 4 pushes, 1 branch in 5 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
pytorchscalablerepresentationsunsupervised-learningdeep-learning
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