Vivian Erklavec Zajec

Machine Learning Team Lead at Universal Diagnostics

Vivian Erklavec Zajec is a skilled Biostatistician at Universal Diagnostics SL, specializing in data science and the development of machine learning prediction pipelines since July 2021. Prior experience includes serving as an Expert Fellow at Kemijski Inštitut - National Institute of Chemistry, where Vivian mapped the metabolic pathway of CHO cells and created an in-silico model using Python and MATLAB. Earlier roles include a student worker position at Lek Pharmaceuticals d.d., focusing on regulatory document preparation, and experience as a seller at Pekarna Legiša, working with bio food, as well as a software tester at Indata. Educational qualifications include a Master of Science and a Bachelor’s degree in Chemical Engineering from the University of Ljubljana.

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