18 December 2015


Evelina Gabasova talks with Dave Rael about data science, making progress to find motivation, and the enormous rewards and benefits of teaching

Evelina Gabasova is a machine learning researcher working in bioinformatics at Cambridge University. At the moment, she’s trying to reverse-engineer genomic mechanisms behind pancreatic cancer. Although she spends her time with biologists, she is mainly a programmer with machine learning background. Outside of academia, she speaks at developer conferences and user groups, mainly about using F# for data science.

Evelina's top 3 tips for delivering more value:

1. Keep learning
2. Start small and work incrementally
3. Teach things

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