Welcome! I'm Ludvig Olsen

I'm an R and python developer with a PhD in bioinformatics, working as a Postdoc 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! 🌍

R packages

I have developed a set of open source R and Python packages:

	groupdata2 Divide data into groups Create balanced partitions and cross-validation folds Perform time series windowing Balance existing groups with up- and downsampling Read more
	cvms 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
	rearrr 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
	xpectr Generate testthat tests RStudio addins for faster development Read more

Python packages

	lionheart Detect pan-cancer from whole genome sequenced cell-free DNA Correlates fragment coverage with chromatin accessibility of 487 cell types Use the trained model or train your own Read more
	nattrs 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
	generalize 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

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