Rasmus Henningsson
Rasmus Henningsson’s research interests are centered around high-dimensional biological data in general and Leukemia in particular. He is currently developing new methods for dimension reduction, analysis and visualization of single cell expression data. He got his PhD degree in applied mathematics at Lund University in 2018, working on dimension reduction, viral evolution and Leukemia.
Session
Reproducibility in scientific analyses is often hampered by insufficient tooling. Large data and slow computations force users to save partial results to disk, and the actual steps to reproduce the entire chain from raw data to end results are lost. Here we present ReproducibleJobs.jl - a computational framework that enables natural workflows and fast turnaround, while still achieving reproducibility and show how it works in practice for single cell expression data in SingleCellProjections.jl.