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.
Chapters:
- - Dave introduces the show and Evelina Gabasova
- - Evelina and programming languages
- - Evelina's path to getting into artificial intelligence
- - Evelina's definition of value
- - The cadence of delivery in Evelina's scientific data projects
- - How Evelina got started in software
- - Evelina and mathematics and the way math is taught
- - The things that "light Evelina up"
- - Evelina's story of failure - the difficulty in finding motivation; the daunting task of the PhD thesis
- - Evelina's PhD thesis
- - Evelina's story of success - blogging and public speaking - teaching and learning
- - How Evelina stays current with what she needs to know
- - The things about which Evelina is most excited
- - The greatest sources of pain in Evelina's life and work
- - The things about which Evelina likes to geek apart from software
- - Evelina's prediction for the future of software
- - Evelina's top 3 tips for delivering more value
- - Keeping up with Evelina
Resources:
- Evelina's Blog
- The Star Wars social network
- F#unctional Londoners Meetup Group
- Linda Rising on Developer On Fire
- Mindset: The New Psychology of Success - Carol Dweck
Evelina's top 3 tips for delivering more value:
- Keep learning
- Start small and work incrementally
- Teach things