Stefano Mangiola
Group Lead at University of Adelaide
Hall, Australia
Summary
👤
Senior🎓
Top SchoolStefano Mangiola is a computational biologist and group leader who leverages Bayesian statistics, single-cell transcriptomics, and AI to map immune–cancer interactions and inform therapy resistance in breast and other cancers. Trained in biotechnology and bioinformatics (Univ. of Milano Bicocca) with an MPhil and PhD from the University of Melbourne/WEHI, he has built scalable single-cell analysis platforms and a Bayesian model for compositional single-cell data that underpinned cross-organ immune atlases. His work spans high-impact methods papers (PNAS, Genome Biology, Nature Methods) and translational projects supported by VCA, CZI and CSL, including a tidyomics language to streamline multi-omic data manipulation. Now leading an independent group at SAiGENCI and the University of Adelaide, he combines rigorous statistics with practical AI tooling to make patient-level immune profiling clinically actionable. An experimentalist-turned-methodologist, he brings rare domain fluency across wet-lab biology, statistical modeling and production-ready computational platforms.
10 years of coding experience
The University of Melbourne
Github Skills (200)
composition10
bayesian-data-analysis10
seurat10
tidyverse10
mcmc10
microbiome10
transcriptomics10
bioconductor10
tidyr10
genomics10
bayesian-inference10
proportions10
r10
tidy10
heatmap10
Programming languages (13)
Github contributions (5)
stemangiola/tidybulk
Aug 2019 - Jan 2023
Brings bulk and pseudobulk transcriptomics to the tidyverse
Contributions:15 releases, 23 reviews, 1164 commits in 3 years 5 months
tibbletranscriptsbioconductortidyversetranscriptomics
stemangiola/RNAseq-noise-model
Sep 2018 - Nov 2019
Contributions:163 commits, 13 PRs, 108 pushes in 1 year 2 months
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