Brandon Sie is a Ph.D. candidate in Bioinformatics and Integrative Genomics at Harvard Medical School with eight years of experience combining computational and wet-lab research to probe protein interactions, immune repertoires, and degron-driven proteostasis. He builds reproducible analysis pipelines and R packages, develops Shiny dashboards, and applies machine learning, AlphaFold modeling, and cloud/HPC workflows to large-scale immunological and sequencing datasets. His hands-on wet-lab skills—phage display, PhIP-Seq, robotic liquid handling, and stability assays—complement his data science work, enabling end-to-end project leadership from experiment design to statistical interpretation. Former roles at Johns Hopkins and the FDA honed his ability to translate high-dimensional assay outputs into novel biological insights and regulatory-grade data curation. Outside the lab he brings a background in primary care, teaching, and martial arts, reflecting strong communication, pedagogy, and discipline that shape collaborative, impact-driven science.
8 years of coding experience
2 years of employment as a software developer
Ph.D., Bioinformatics and Integrative Genomics, Ph.D., Bioinformatics and Integrative Genomics at Harvard Medical School
Bachelor of Science (B.S.), Bioengineering, Bachelor of Science (B.S.), Bioengineering at UC Berkeley
R package to BLAST peptide sequences against each other and identify the minimal overlap of aligning regions.
Contributions:1 release, 249 commits, 7 PRs in 3 years
r-packagepeptide-sequencesregionsoverlapidentify
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