Olivia Bonnette

Analytical and motivated biomedical engineering student with a strong foundation in technical research, data analysis, and cross-disciplinary collaboration. Experienced in developing efficient workflows and automation strategies using Python, R, and MATLAB. Passionate about solving real-world problems through a blend of scientific rigor and business strategy.

• Drove a 40% reduction in cell counting processing time through Python script automation.
• Improved data accuracy in experimental research via computational pipeline refinement.
• Facilitated informed decision-making through data-driven presentations.
• Ensured data integrity through meticulous validation and curation of biomaterial datasets.
• Enhanced experimental precision by refining Python and R scripts for proteomics data analysis.
• Boosted lab productivity by proposing methodological improvements and compiling comprehensive reports.

• Society of Women in Engineering (SWE)
• Undergraduate Research Society
• Women in Science, Engineering and Technology (WISER)
• Medwish International, Cleveland, OH, Verified and maintained high-quality standards for medical equipment packages.

• Biomedical Instrumentation, Engineered instrumentation systems by designing circuits and programming microcontrollers to measure key biomedical signals (e.g., heart rate, pH) under varied conditions.
• MATLAB Models Development, Developed MATLAB models to simulate dynamic bioelectric processes (muscle force generation, axonal responses), providing critical insights into physiological mechanisms.
• Biomaterial Hemocompatibility Assessment, Conducted rigorous assessments of biomaterial hemocompatibility through analysis of protein adsorption, platelet adhesion, and surface characteristics, optimizing material performance.