Brad Balderson
Research Fellow at UQ Institute for Molecular Bioscience
Queensland, Australia
Summary
👤
Senior🎓
Top SchoolBrad Balderson is a research-focused bioinformatician with nine years’ experience developing and implementing computational methods across single-cell, spatial transcriptomics, and population genomics. Currently at the UQ Institute for Molecular Bioscience, he builds and benchmarks sequence-to-function models to map causal variants underlying complex traits, having previously driven transcriptomics–epigenetics and addiction-related work at the Salk Institute. He co-developed tools such as Cytocipher and stLearn CCI to resolve granular cell subtypes and infer cell–cell communication in spatial data, and applies machine learning to link DNA variation with epigenetic effects. Trained with a PhD in Biomathematics/Bioinformatics from The University of Queensland, he combines rigorous method development with hands-on pipeline engineering across melanoma, breast and brain cancer, and developmental systems. Known for a pragmatic, curiosity-driven approach, he seeks to translate computational insight into experimental decisions and real-world impact.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Biomathematics Bioinformatics and Computational Biology, Doctor of Philosophy - PhD Biomathematics Bioinformatics and Computational Biology at The University of Queensland
Github Skills (63)
single-cell-genomics10
spatial-transcriptomics10
transcriptomics10
single-cell-analysis10
spatial10
computational-biology10
hierarchical9
autoencoder9
variational-autoencoder9
pipeline9
tsne9
genomics8
density-estimation8
machine-learning8
topological-data-analysis8
Programming languages (8)
Github contributions (5)
BiomedicalMachineLearning/stLearn
Apr 2021 - Nov 2022
A novel machine learning pipeline to analyse spatial transcriptomics data
Contributions:196 commits, 2 PRs, 135 pushes in 1 year 7 months
single-cell-genomicsspatial-transcriptomicspipelinespatialmachine-learning-pipeline
BradBalderson/Cytocipher
Mar 2022 - Dec 2022
Contributions:4 releases, 369 commits, 178 pushes in 9 months
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