Jakob Theorell
Registrar (ST-läkare) at Stockholms läns sjukvårdsområde
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolJakob Theorell is an MD/PhD clinician-scientist based in Stockholm with a decade of experience at the intersection of immunology, neurology and psychiatry, currently balancing registrar training in neurology with research and team leadership at Karolinska Institutet and clinical duties at Karolinska University Hospital. His work focuses on cellular immunology of autoimmune encephalitis, combining single-cell omics and cytometry expertise—he develops his own analysis software in his spare time, reflecting a strong computational bent uncommon in many clinician-researchers. Having held postdoctoral positions at the University of Oxford and Karolinska, he excels at translating findings from bedside to bench and back, and plans to complete neurology training while maintaining an active research portfolio.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Immunology, Doctor of Philosophy - PhD, Immunology at Karolinska Institutet
English, Swedish, German
Github Skills (18)
bioconductor10
partitions10
r-package9
sequencing9
bioinformatics9
clustering9
testing7
genomics-visualization6
genomics5
rna-seq5
r4
cycle3
seq3
gene-expression2
transcript2
Programming languages (2)
Github contributions (5)
jtheorell/flowSpecs
Sep 2019 - Jul 2022
Contributions:29 commits, 23 pushes, 2 branches in 2 years 10 months
Theorell/DepecheR
Aug 2017 - Mar 2022
Now on BioConductor! DepecheR is an R package for clustering cytometry and single-cell RNA sequencing data according to a minimal set of biological markers. This is done using repeated application of a penalized k-means algorithm, which penalizes partitions that depend on a large number of markers. DepecheR tunes the level of penalization by testing a range of penalization levels, thus minimizing the need for assumptions and arbitrary decisions.
Contributions:231 commits, 3 PRs, 28 pushes in 4 years 7 months
single-cell-rna-sequencingk-meansbioconductorbioinformaticsminimizing
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