Machine learning methods are being applied in many different areas - from analyzing financial stock markets to movie recommender engines. But the same methods can be applied to other areas that also deal with big messy data. In bioinformatics I us... Read more
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Evelina is a machine learning researcher working in bioinformatics, trying to reverse-engineer cancer at University of Cambridge. Her background is mainly in computer science, statistics and machine learning. Evelina is a big fan of F# and uses it frequently for data manipulation and exploratory analysis in her research. Outside of academia, she also speaks at developer conferences and user groups about using F# for data science. She writes a blog at http://www.evelinag.com.