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
Bachelor of Science (B.S.), Bioengineering, Bachelor of Science (B.S.), Bioengineering at University of California, Berkeley
Ph.D., Bioinformatics and Integrative Genomics, Ph.D., Bioinformatics and Integrative Genomics at Harvard Medical School
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
rr-packagealignmentantibodyblastp
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