— all things R and neuroimaging —
I am a cognitive neuroscientist based in Oslo, Norway, and works at the Center for Lifespan Changes in Brain and Cognition. I’m passionate about cognitive neuroscience, using R and teaching the world the wonders of R. Doing all I can to improve gender diversity and equity in the R-community though R-Ladies Oslo and on the R-Ladies Global Team.
Download my CV in pdf
Read morepolygon visualisation of brain segmentations
This package is developed with co-worker Didac Vidal Pineiro, whose had the whole idea.
This package is meant to use for visualizing brain segmentations, often referred to as brain atlases. Click the eye below to see a demonstration of the package.
It is also ready to install using devtools in R, directly from github.
3d mesh visualisation of brain segmentations
This package is based on my initial idea, and developed with co-worker Didac Vidal Piñeiro.
This package is meant to use for visualizing brain segmentations, often referred to as brain atlases. Click the eye below to see a demonstration of the package.
It is also ready to install using devtools in R, directly from github.
extra features for ggseg-suite packages
This package is an addon-package to the ggseg-suite of packages. It contains functions to create your own atlases compatible with the ggseg-packages, and includes a curated list of repositories with ggseg compatible atlases.
It is also ready to install using devtools in R, directly from github.
connect to UiO nettskjema API from R
This package uses the nettskjema API developed by the University of Oslo IT, making it possible to communicate with the University of Oslo specialized survey platform ‘nettskjema’. Currently the package is geared towards downloading and creating data.frames in R from answers to surveys. This is an easy and convenient way for people to access data they have stored in the survey platform into R and ready for analyses.
It is also ready to install using devtools in R, directly from github.
**Talks**: The ggseg-suite of R-packages
This is a lit of talks I have had for the ggseg-suite of package developed by myself and my co-worker Didac Vidal-Piñeiro.
The packages create the possibility of visualizing brain atlas data directly in 2d fully inflated brains or brain slices through ggplot2, and as 3d mesh plots through plotly. They are intended to create easier workflows for researchers working in R and neuroimaging, reducing the need to switch between software too often.
27.11.2020 - Keynote - NORMENT Early Researchers Meeting
10.11.2020 - Plenary talk - NHS-R Conference
**Talks:** Oslo Psychscience
We started Oslo Psychscience as a science communication challenge for young researchers at the Department of Psychology, at the University of Oslo. Guro Løseth Engvik and I arranged Pecha Kucha nights with young researchers presenting their projects. I have presented here twice, and been the host of one.
01.05.2019 - Healthy minds from 0-100 years: Optimising the use of European brain imaging cohorts
15.12.2014 - Why study ADHD?
**Talks:** R-Ladies
I’ve had R-Ladies talks both locally to the local Oslo chapter, the Norwegian Bergen chapter and also for R-Ladies London. I try reaching out to local R-Ladies chapters when I travel and offer a talk. It’s a great way to meet new people and get inspiration from other chapters!
06.10.2020 - Bergen / Online - Workshop: Linear mixed models in R
11.05.2020 - Oslo - Reports to impress your boss
30.09.2019 - Oslo - Data tidying
20.03.2019 - London - Workshop: Linear mixed models in R
23.04.2018 - Oslo - Adding external images to plots
Links:
R-Ladies webpage
**Workshop:** Introduction to Linear Mixed Models in R
This is a 2 hour workshop in doing Linear Mixed Models in R. The workshop is intended to be interactive, and can be expanded to a whole day.
This workshop is an introductory workshop in Linear Mixed Models in R.
It will cover some basic information on how to identify if a data-set is ill-suited for standard linear models, and mixed models are better.
After this it covers how to specify linear mixed models, inspect the model output, and create tables and figures based on the model results.
The dragons data set used in this workshop is shamelessly stolen from Gabriela Hajduk’s introduction to LME’s. Her excellent tutorial is highly recommend, which I also have somewhat adapted my own workshop.
**Workshop:** Tidyverse Quick Introduction
This is a 4 hour workshop on working with the tidyverse packages in R. The workshop is intended to be interactive, was initially developed to be run as a webinar, and can be expanded to single or two whole day workshop.
R has become a popular tool for doing statistical analysis. However, the sheer number of different packages for data preparation and analysis makes R code heterogeneous, hard to read, and error-prone. A collection of packages in R have considerably improved the experience of working with datasets in R. The Tidyverse meta-package for R provides a set of tools that work well together, with particular emphasis of streamlining data wrangling (i.e. altering the shape of matrix data, adding or removing variables etc.) in a manner that syntactically mimics natural language. The intention of the TIdyverse is to make it easier to both write and read code in a natural way with a unified interface. This course is intended both for R beginners as well as intermediate R users who know base-R well but wish to learn more about the Tidyverse way of working with data. At the end of the workshop you will have a grasp of the Tidyverse way of working with data, and have learned new ways of efficiently working with data in R.
This workshop is a combination of presentation, live coding, and exercises.
