Bradley Bowles
Bioinformatics for cancer diagnosis.
Bradley BowlesBioinformatics for cancer diagnosis. |
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My name is Bradley Bowles and I'm a bioinformatics developer using multi-omics to improve our understanding of cancer. I'm a Senior scientist at Tempus AI, where I work on the RNA team to generate information on tumor gene expression and splicing. However, this is my personal site where I also like to exhibit side projects, including rare disease work from my PhD. My interests are fairly broad, and succinctly described as using computational biology to explore molecular mechanisms of human disease.
You can think of this page as a summary of everything I've been up to recently from a bioinformatics standpoint. For anyone looking to get in touch, you can view the links at the top of the page (LinkedIn, GitHub, and Bluesky). Lastly, the views on this site are mine, and do not represent positions of my employer.
I supported a retrospective study of 67,278 patients with 43 unique tumor types who received matched DNA and RNA sequencing. Results indicated that RNA utilization increased the detection rate of gene fusions, and that this increase was greatest for BRAF and NRG1 fusions. You can read the full paper here.
In September 2025, Tempus received FDA 510(k) clearance to use the xR assay for the detection of gene rearrangements. I was the primary scientist responsible for delivering the precision and limit of detection study results. You can read the official press release here.
Beyond my work as an industry scientist, I maintain several side projects.
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BRUV is a tool for visualizing upstream open reading frames (uORFs) in mRNA sequences. uORFs are regulatory elements that can influence the translation of the main coding sequence, and BRUV helps researchers identify and analyze these elements in genomic data.
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SURF-A is a web-based application that allows users to visualize and annotate small upstream open reading frames (uORFs) in mRNA sequences. The tool provides an interactive interface for exploring uORF data, making it easier for researchers to understand their potential regulatory roles.
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I don't have a cute acronym for this work, which is a longitudinal study of graduate student mental health. I led this survey effort in 2019, as a trainee, and the study is still running today. Results are used to improve student training and address persistent issues such as food insecurity and burnout. The 3 year update of this work was published here.
Before joining Tempus AI, I completed my PhD in Biomedical Science at the Mayo Clinic in Rochester, Minnesota. I was co-mentored by both Eric Klee, PhD, and Karl Clark, PhD. My dissertation focused on undiagnosed rare disease patients and involved developing new computational pipelines for diagnosis and studying the effects of candidate mutations using zebrafish models. You can access my dissertation here.