Neuroimaging Data Workflows: Automated the processing of massive fMRI datasets using Bash scripting, MATLAB, and R. Created "analysis-ready" data structures from raw imaging inputs; improving the efficiency and accuracy of data handling in research projects.

Multi-Site Data Unification: Led the automation of clinical trial data using APIs (REDCap) to unify siloed data sources into a central, standardized format.

Automation and Workflow Optimization: Developed and implemented automation scripts and workflows that significantly reduced manual processing time, increased data accuracy, and enabled more efficient resource allocation within research teams.

Complex Data Modeling: Applied statistical modeling to neural network activity, gaining deep experience in the scientific method of data analysis and predictive modeling.

Data Integrity and Compliance: Ensured data integrity and compliance with regulatory standards across all phases of clinical trial data management, from collection to analysis, by implementing rigorous quality control measures and documentation protocols.

Technical Communication for Research: Communicated technical requirements, constraints, and methodological rationales for various scientific grant applications and research proposals, contributing to the successful securement of funding and support for research initiatives.

Cross-Functional Collaboration: Facilitated cross-functional collaboration by bridging the gap between technical and non-technical stakeholders, translating complex data processes to ensure alignment with project goals.

Training and Mentorship: Provided training and mentorship to team members on the use of data management tools and best practices, fostering a culture of continuous learning and professional development within the organization.