Bioinformatics, effects of regulation and data.table

Directions: If you stand in front of Shoreditch Grind on Old St roundabout you are directly infront of the building. Head around to the right to find a set of revelving doors and someone will help you get to WeWork on floor 2.

Please get yourself a ticket on eventbrite: https://www.eventbrite.co.uk/o/r-ladies-london-12267598254

This month we have a great mix of topics from excellent speakers and at a convenient venue!

Automating large-scale bioinformatics analysis over cloud with the Deploit Platform- Dr Maria Chatzou, CEO of Lifebit (https://twitter.com/mariachatzou)

Lifebit use Nextflow, a polyglot Domain Specific language that allows us to incorporate bioinformatics tools developed in any programming language in a unified pipeline. We use bioinformatics R packages for the workflows available on the Deploit platform which are available on our github https://github.com/lifebit-ai.

Using Machine Learning to understand the impact of regulation on mortgage sales- Zanna Iscenko, Senior Data Scientist / Research Economist at the FCA

Start using data.table- Megan Stodel, data scientist at the Ministry of Justice, having shifted career from social research (www.meganstodel.com)

When such a large part of data science is data wrangling, it makes a huge difference using the best tools. Megan advocates for the package data.table, which allows users to explore and manipulate datasets in R with great efficiency. As well as extolling its virtues, she'll give an overview of the basic syntax, and hopes to convince you to give it a try!.

Agenda:

18:00 -- Doors open

18:30 -- Talks start

20:15 -- Networking

This event is kindly hosted by Lifebit in the WeWork Old St Building