Research Intern · Mar 2019 – Dec 2022
ATTILA Bioinformatics Research
Automated immunoglobulin sequence analysis for phage display libraries, producing candidate heavy/light chain sequences and antibody fragment code.
Stack Rust · Python · R · Docker · C++ · C
Links GitHub · CDR3 Parser (Rust)
bioinformaticsimmunologypipelinesresearchdata-visualization
ATTILA (AutomaTed Tool For Immunoglobulin Analysis) analyzes phage display libraries to find candidate immunoglobulin sequences. It takes variable domain sequences for heavy (VH) and light (VL) chains through an eight-step pipeline and outputs heavy/light chain candidates plus antibody fragment code.
What I built
- Automated the full analysis pipeline (C, Perl, shell) into a single reproducible workflow
- Wrote the CDR3 parsing stage in Rust (cdr3-parser), replacing a manual step
- Built interactive visualization reports for the research group
- Brought total pipeline runtime down ~30x