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Hi, I'm Christina 👋 and I'm a star 🌟

... at least this is what my surname implies 😊.

I'm a molecular biologist and university lecturer who is passionate about big data and AI in the life sciences. I have set out to become a biomedical data scientist, because I am convinced that data will be driving biomedical discoveries and how we think about diseases, develop drugs or inform treatment choices even more in the future. And I want to be part of this revolution. My credo is "you are never too old to set another goal and dream another dream" which keeps me curious and motivated to learn new skills such as coding or playing the violin.

🔭 I'm interested in collaborating on biological, biomedical or healthcare related data problems.

Christina Morgenstern's Projects

bds-files icon bds-files

Supplementary files for my book, "Bioinformatics Data Skills"

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

data icon data

Data and code behind the articles and graphics at FiveThirtyEight

data-science-at-scale icon data-science-at-scale

A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

geo2dr icon geo2dr

Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

nextflow icon nextflow

A DSL for data-driven computational pipelines

rnaseq icon rnaseq

RNA sequencing analysis pipeline using STAR, HISAT2 and Salmon with gene counts and quality control

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