Jamie C. Baxter

Orchestrated the critical analysis and processing of client vendor data to author comprehensive Scientific Research & Experimental Development (SR&ED) technical reports, securing substantial tax deductions for business development.

Collaborated with diverse business clients, interpreting complex internal development methodologies to design systematic experimental investigations, significantly improving business fitness and operational outcomes.

Applied expertise in machine learning and scientific computing to extrapolate key insights from client data, informing strategic decisions and optimizing technological implementations.

Provided tailored subject matter expertise and critical analysis, enabling clients to address unique technical challenges and achieve specific strategic objectives.

Architected, configured, and deployed high-performance FreeBSD systems to support critical storage, compute, and web-hosting services, ensuring 24/7 availability and reliability.

Successfully adapted and integrated diverse Linux-based open-source software to the FreeBSD platform, maximizing system utility and leveraging robust open-source solutions.

Implemented secure and efficient containerized services (FreeBSD jails) with advanced networking configurations, including VPN tunneling, dedicated routing tables, NAT, and reverse proxying, enhancing system security and performance.

Managed and supported a suite of ad hoc services on Linux/FreeBSD, including web-hosted invoicing, tax documentation, and version control, improving administrative efficiency and data integrity.

Developed and deployed custom Bash and Python scripts to automate system actions, reporting, and maintenance tasks, significantly reducing manual effort and improving operational consistency.

Designed and implemented automated bioinformatics workflows for data acquisition, management, and processing, reducing user workload by an estimated 30% and significantly enhancing analysis accuracy.

Pioneered the development and automation of nonlinear regression models using R and Python for quantitative biochemical analyses, enabling precise statistical evaluation and comparison of experimental assay data.

Conducted rigorous research into P1 partition protein interactions, generating novel insights into protein-protein and DNA binding mechanisms that contributed to published scientific literature.

Leveraged advanced computational and statistical methods to analyze complex biological datasets, driving deeper understanding of molecular processes and informing future research directions.

Designed and executed robust, systematic experiments utilizing specialized hardware, concurrently developing software solutions that enhanced hardware usability and experimental efficiency.

Provided essential hardware and software support for laboratory computing infrastructure (Windows NT 3.1 to Windows 10, OS X/macOS), ensuring seamless operations and effective communication with IT.

Performed comprehensive statistical analyses on genetic assays to elucidate the impact of protein mutations on biological pathway function and bacterial viability, contributing to research findings.

Developed and automated data retrieval and manipulation tools, integrating repository data into a local SQL database for efficient retrieval and annotation, improving data management.

Mentored and educated new students while fostering intra-laboratory communication, contributing to a collaborative and productive research environment.

Presented complex scientific research data as a subject matter expert at over 15 conferences, significantly elevating the institution's research visibility and scientific knowledge dissemination.

Collaborated within cross-functional teams of subject matter experts, engineers, and chemists to develop miniaturized chemical detectors, successfully reducing product size and manufacturing costs.

Pioneered independent research initiatives, providing critical data and insights that informed and supported collaborative projects between two distinct research teams.

Mastered and applied advanced silicon fabrication techniques to successfully develop and mass-produce a chemical sensor with a compact 1mm² footprint, enhancing product scalability.

Presented complex technical data to scientific peers and actively engaged in scientific dialogues, facilitating problem-solving and achieving key project milestones.