Eugenia Voytik is a Data Engineer and Senior Scientist with eight years of experience at the interface of biology, bioinformatics, and software engineering, currently driving data solutions at Boehringer Ingelheim. She holds a PhD in Proteomics and Signal Transduction from LMU Munich and has built widely used open-source Python tools (AlphaViz, AlphaMap, AlphaTims) for visualizing and validating complex mass-spectrometry proteomics data. Her background spans hands-on lab work, software testing for cheminformatics, and consulting on high-dimensional MS data visualization, giving her a rare combination of wet-lab intuition and production-grade engineering. Passionate about applying machine learning to omics and clinical datasets, she excels at turning multidimensional scientific data into interpretable insights and GUI tools that empower researchers. Notably, she has experience controlling instrument acquisition workflows and developing multiple GUIs, reflecting a focus on end-to-end solutions from raw data to interactive validation.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Proteomics and Signal transduction, Biomathematics, Bioinformatics, and Computational Biology, 1.0, Doctor of Philosophy - PhD, Proteomics and Signal transduction, Biomathematics, Bioinformatics, and Computational Biology, 1.0 at Ludwig-Maximilians-Universität München
Alumna, Artificial Intelligence, Alumna, Artificial Intelligence at Pi School
Ludwig Maximilian University of Munich
Bachelor of Science in Biology & Biotechnology, 1.0, Bachelor of Science in Biology & Biotechnology, 1.0 at Belarusian State University
Data Science specialization, Data Science specialization at Online school Skillfactory, Russia
Contributions:37 commits, 2 pushes in 3 years 4 months
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