Summary
Christina Morgenstern is a data scientist and bioinformatician with 8+ years blending biomedical research, machine learning, and hands-on teaching into practical data products and pipelines. With a PhD in Developmental Biology and an MS in Data Science (Computational Biology), she moves fluidly between wet-lab insight and ML tooling (Python/R, PyTorch, TensorFlow) to design scalable data collection, preprocessing and predictive models. She currently applies this hybrid skillset at the Medical University of Vienna while running a long-standing science communication venture that has engaged hundreds of students and secured significant funding. Her background includes delivering industry-facing NLP analytics at Pivigo and mentoring students to international science-olympiad success, highlighting rare strength in both public engagement and technical impact. Notably, she combines deep domain knowledge in molecular biology with formal ML training from Oxford and Alan Turing Institute programs, enabling pragmatic AI solutions for biomedical challenges.
8 years of coding experience
1 year of employment as a software developer
FourthBrain
OxML 2020: Oxford Machine Learning Summer School 2020 and 2021, OxML 2020: Oxford Machine Learning Summer School 2020 and 2021 at AI for Global Goals
Master of Science - MS, Molecular Microbiology, Master of Science - MS, Molecular Microbiology at Karl-Franzens-Universität Graz
Master of Science - MS, Data Science - Computational Biology Concentration, 3.95, Master of Science - MS, Data Science - Computational Biology Concentration, 3.95 at Lewis University
Doctor of Philosophy (PhD), Developmental Biology and Genetics, Doctor of Philosophy (PhD), Developmental Biology and Genetics at University College London, U. of London
The Alan Turing Institute Data Study Group
French, English, German