Building sophisticated software for proteomics research
Lead Developer of NULISA Analysis Software at Alamar Biosciences. Specializing in R Shiny applications, Docker containerization, and scalable data pipelines.
Expertise
Full-stack bioinformatics software development with focus on production-grade applications
Application Architecture
Designing and implementing complex, modular R Shiny applications with enterprise-grade architecture and scalability.
DevOps & Infrastructure
Docker containerization, Azure cloud deployment, and CI/CD pipelines for reproducible scientific computing environments.
Data Engineering
Building robust SQL databases and ETL pipelines for high-throughput proteomics and sequencing data workflows.
Proteomics Analysis
Developing computational methods for sequencing-based proteomics with emphasis on statistical rigor and quality control.
Statistical Workflows
Creating automated analysis pipelines and visualization systems for complex biological datasets.
Software Engineering
Applying best practices in code architecture, testing, documentation, and version control for maintainable systems.
8+
Years Experience
3
Master's Degrees
15+
Major Projects
6
Technologies