Jelena Lukić is a Tech Lead and data scientist with 10 years of cross-disciplinary experience applying machine learning and software engineering to complex scientific problems at HTEC, Nestlé, EPFL Blue Brain Project, and CERN. She specializes in computer vision, image analysis, and graph-based deep learning, having built reproducible pipelines that integrate GNNs, CNNs and XAI techniques for neuronal morphology and cryo-EM pose recovery. Comfortable moving between research and production, she has delivered practical tools from interactive microbiome dashboards to automated LLRF control software and FPGA sensor algorithms. Based in Novi Sad, she combines an EPFL MSc in Data Science with a strong engineering foundation and a knack for connecting scientific insight to robust ML systems. An unspoken strength is her ability to translate domain-specific problems into interoperable, explainable ML pipelines that accelerate interdisciplinary teams.
10 years of coding experience
3 years of employment as a software developer
Diploma on completion of secondary education for gifted students, Diploma on completion of secondary education for gifted students at Mathematical grammar school, Belgrade
Elementary Music School, "Stevan Hristić", Apatin
Elementary School "Žarko Zrenjanin", Apatin
Bachelor with Honours in Electrical and Computer Engineering (B.El.Comp.Eng.) Software Engineering and Information Technologies, Bachelor with Honours in Electrical and Computer Engineering (B.El.Comp.Eng.) Software Engineering and Information Technologies at Faculty of Technical Sciences, University of Novi Sad
Master of Science (MSc) Data Science, Master of Science (MSc) Data Science at EPFL
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