Kristina Preuer
Process Automation And Automation Manager
Austria
Summary
👤
Senior🎓
Top SchoolKristina Preuer is a Process Automation and Automation Manager with eight years of experience translating machine learning research into production-ready solutions. Currently finishing a PhD at Johannes Kepler University’s Institute for Machine Learning, she blends deep academic expertise in bioinformatics and biophysics with hands-on data science roles at ACP CUBIDO and cubido business solutions. At GL Pharma she now focuses on scaling automation across processes, bringing rigorous experimental thinking to industrial workflows. Her background spans biological chemistry through advanced ML, enabling her to bridge domain science and engineering pragmatically. Colleagues describe her as a researcher who thrives on making complex models operational and auditable in regulated environments.
8 years of coding experience
3 years of employment as a software developer
Diplom-Ingenieurin Biophysik, Diplom-Ingenieurin Biophysik at Johannes Kepler Universität Linz
Github Skills (2)
generative-model9
graph3
Programming languages (2)
Github contributions (3)
bioinf-jku/FCD
Mar 2018 - Jan 2019
Fréchet ChemNet Distance: A quality measure for generative models for molecules
Contributions:16 commits, 1 PR, 13 pushes in 9 months
generative-model
bioinf-jku/interpretable_ml_drug_discovery
Mar 2019 - Mar 2019
Interpreting graph convolutional filters of target prediction network
Contributions:5 commits, 4 pushes, 1 branch in 2 days
graph
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