Kamil Slowikowski

Kamil Slowikowski

Computational biologist studying human immunology

Welcome πŸ‘‹
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I’m Kamil, a computational biologist at Mass General Brigham, where I work on genomics projects to study human immunology.

Many research labs use my single-cell data browser Cell Guide and you can see published datasets at Immunogenomics.io and Villani Lab.

I also made ggrepel, an R package for annotating figures.

πŸŽ“ Download CV

πŸ”¬ Research
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My research is in the fields of human genetics, functional genomics, immunology, statistics, and software development. I am passionate about working closely with clinicians to advance our understanding of human immunology and disease.

In other words, I study data that tells us what cells are doing in our bodies. And I compare the cells from different people to find out what happens in diseases like rheumatoid arthritis, immunotherapy-related colitis, and COVID-19.

πŸ“š Selected Publications
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A multimodal atlas of COVID-19 severity identifies hallmarks of dysregulated immunity
The alpha-variant wave of the COVID-19 pandemic provided a unique opportunity to study, at single-cell resolution, how near-universal exposure to the same pathogen can lead to …
Immune responses in checkpoint myocarditis across heart, blood and tumour
Immune checkpoint inhibitors are widely used anticancer therapies1 that can cause morbid and potentially fatal immune-related adverse events such as immune-related myocarditis …
Single-cell transcriptomic analyses reveal distinct immune cell contributions to epithelial barrier dysfunction in checkpoint inhibitor colitis
CUX1 and IΞΊBΞΆ (NFKBIZ) mediate the synergistic inflammatory response to TNF and IL-17A in stromal fibroblasts
Proceedings of the National Academy of Sciences, 2020
The role of stromal fibroblasts in chronic inflammation is unfolding. In rheumatoid arthritis, leukocyte-derived cytokines TNF and IL-17A work together, activating fibroblasts to …

πŸ› οΈ Selected Projects
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Osteosarc.com
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An interactive portal for the openly shared genomics and imaging data from Sid Sijbrandij’s osteosarcoma tumor samples.
ggrepel: Automatically Position Non-Overlapping Text Labels with 'ggplot2'
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An R package that extends ggplot2 with geoms that automatically position text labels so they don’t overlap each other, the data points, or the edges of the plot.
Cell Guide: Navigate single-cell RNA-seq datasets in your web browser
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A browser-based viewer for single-cell RNA-seq datasets β€” explore UMAPs, gene expression, and per-cluster statistics with no installation or coding.
Immunogenomics.io
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Interactive data portal for the Raychaudhuri Lab β€” explore the primary bulk RNA-seq, single-cell RNA-seq, and mass cytometry data behind published immunogenomics studies.