Building software for proteomics research
Lead Developer of NULISA Analysis Software at Alamar Biosciences. I build R Shiny applications, containerized deployments, and data pipelines used by researchers worldwide.
Expertise
Building complete bioinformatics solutions from data pipelines to user interfaces
Application Architecture
Designing and building modular R Shiny applications that scale from single users to enterprise deployments.
DevOps & Infrastructure
Building Docker containers, cloud deployments, and CI/CD pipelines for reproducible scientific computing.
Data Engineering
Building SQL databases and data pipelines to handle large-scale proteomics and sequencing datasets.
Proteomics Analysis
Developing computational methods for sequencing-based proteomics with strong statistical foundations and quality control.
Statistical Workflows
Building automated analysis pipelines and interactive visualizations for multi-dimensional biological data.
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