Oversee data management and statistical analysis for the Soil Health Benchmark Study, an on-farm community science project, linking management data from over 200 collaborator farms with soil health outcomes.Key Responsibilities:- Manage the data lifecycle for the study, ensuring data integrity and accessibility.- Design, code, and maintain ETL pipelines using R and Python to automate data quality control, reporting, and API integrations with platforms like Salesforce, ArcGIS, and PostgreSQL.- Conduct statistical analysis and data visualization using R to interpret long-term soil health trends and outcomes.- Communicate research findings to farmer collaborators and other sustainable agriculture stakeholders through in-person and remote presentations, as well as formal data reports.

Developed and maintained data pipelines to ensure the quality and accessibility of clinical data for a large-scale genetic study on neurodevelopmental disorders.Key Responsibilities:- Designed and implemented Python pipelines for quality control and transformation of clinical data collected through REDCap.- Integrated study data into a MySQL database hosted on Google Cloud, centralizing cleaned study data for reporting and analysis.- Expanded the database architecture to support additional study sites and the inclusion of new diagnostic tests.- Automated the generation of study reports and created a public-facing Google Data Studio dashboard, providing real-time insights into study recruitment.

Wrote Python and Linux pipelines to extract and process next-gen sequencing data, supporting the creation of a liquid biopsy platform for detecting circulating tumor DNA. Key responsibilities:- Ran pipelines on high-performance computing clusters to call mutations, manipulate and align sequence data, and visually represent outputs to inform platform development.- Developed and deployed an AWS MySQL database to store processed sequence data for more efficient querying of results.- Worked with a cross-functional team of clinicians and scientists to iterate pipeline design in response to DNA barcoding design changes and to ensure biological relevance of results.

Contracted on a restoration project through the Arizona Conservation Corps in Coconino National Forest putting up gates across the forest and restoring over 1000 acres of desert impacted by motor vehicle traffic.