Skills & Technologies
Scientific software development for proteomics and data analysis
Skills in Action
R & Shiny
Developed NULISA Analysis Software, a full-stack R Shiny application used by 100+ researchers for proteomics data analysis and visualization.
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SQL & Data Engineering
Built SQL pipelines for NULISAseq data integration, handling millions of records reliably.
Docker & Kubernetes
Containerized and deployed NAS on Azure Kubernetes Service, ensuring scalable, secure, and automated CI/CD workflows.
Azure Cloud
Set up cloud infrastructure and deployment for bioinformatics applications using Azure Container Registry and AKS.
Git & DevOps
Implemented version control and automated testing (testthat, Cypress) for all major projects, supporting collaborative development and reliability.
Machine Learning
Built predictive models for MSstats Sample Size Estimator, improving experimental design and resource allocation in proteomics research.
Data Visualization
Created interactive dashboards and visualizations to help scientific teams explore and understand complex datasets.