Breanna Mcbean
PHD Candidate
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolBreanna Mcbean is a Genetics and Genomics PhD candidate and computational biologist who applies applied mathematics and software skills to precision medicine problems, especially radiation response and metastasis in triple-negative breast cancer. Over eight years she has built end-to-end analysis pipelines in R and Python for RNA-seq, ATAC-seq, CRISPRi screens and proteomics, and has translated pipelines for GPU acceleration in a commercial MRD setting using Parabricks, Docker, WDL and AWS. Her work bridges wet-lab and clinical data, from designing experiments and budgets to choosing statistical tests and interpreting results in biological context, and has produced results that nominate new radiation-response genes and implicate MELK and MAPK pathways in TNBC. She is NIH/T32-funded, has contributed to published spatial transcriptomics methods at the Broad, and mentors high school girls in data science through Girls Who Code. Based in San Diego, she combines rigorous quantitative training with multidisciplinary collaboration and an emphasis on expanding STEM representation.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Genetics and Genomics, Doctor of Philosophy - PhD Genetics and Genomics at University of Michigan Medical SchoolBachelor of Arts - BA Applied Mathematics, Bachelor of Arts - BA Applied Mathematics at California State University, Fullerton
Github Skills (1)
r2
Programming languages (1)
Github contributions (5)
B-McBean/Python-Class
May 2019 - Jun 2019
Contributions:26 commits, 25 pushes, 1 branch in 18 days
thechenlab/slide-seq_spatial_analysis
Jul 2019 - Aug 2019
Contributions:10 pushes, 1 branch in 3 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.