I'm an R and python developer with an MSc in Cognitive Science, working as a PhD student at the Department of Molecular Medicine (MOMA) at Aarhus University Hospital. Current projects revolve around detection and localization of cancers from cell-free DNA in blood samples.
I worked with deep learning on text at UNSILO and medical imaging data at Cercare Medical.
The aim of my career is to have a very big positive impact on this world of ours! ๐
I have developed a set of open source R and Python packages:
|
- Divide data into groups
- Create balanced partitions and cross-validation folds
- Perform time series windowing
- Balance existing groups with up- and downsampling
Read more
|
|
- Cross-validate regression and classification models
- Evaluate predictions with a tidy output
- Extract challenging observations
- Find baselines for a wide range of metrics
Read more
|
|
- Rearrrange data points
- center max value, roll elements, shuffle hierarchy, ...
- Mutate data points
- rotate, swirl, cluster, roll values, ...
- Scaling and measuring utilities
- MinMax scaling, find angle, find centroid, ...
Read more
|
|
- Generate testthat tests
- RStudio addins for faster development
Read more
|
|
- Get, set, mutate, update, or delete nested attributes
- Works on dict members and object attributes interchangebly
- Allows regex-based matching on attribute / key names
Read more
|
|
- Run repeated nested leave-one-dataset-out cross-validation
- Evaluate predictions with a range of metrics
- Evaluate univariate models
- Classes for handling ROC curves and confusion matrices
Read more
|