Ava Robertson

●​ Conducted twice-weekly office hours on biomechanics, statics, and quantitative problem-solving methods ●​ Evaluated and provided feedback on homework assignments for a class of 15 students, providing constructive feedback on technical coursework

●​ Instructed 20 high school students in R programming, statistical analysis, and data visualization techniques ●​ Mentored student teams through experimental design, data analysis, and scientific communication ●​ Provided technical feedback on coding, project development, and research methodology

●​ Analyzed accelerometer data in MATLAB to investigate Achilles tendon loading ●​ Developed signal processing and gait event detection algorithms to quantify tendon mechanics throughout the gait cycle ●​ Evaluated biomechanical differences between rearfoot and forefoot running using kinematic and kinetic data

Designed and executed data-collection methodologies, strengthening skills in protocol development, accuracy, and reproducibility. Operated a novel Achilles tendon tensiometer device and supporting technology, demonstrating comfort with advanced instrumentation. Analyzed physiological signals using MATLAB to process, analyze, and prepare visualizations of data to support a pilot manuscript. Communicate technical findings to research collaborators, developing clarity in scientific communication.

Converted hand-drafted plans to digital models with 100% dimensional accuracy using SoftPlan 2016. Ensured compliance with construction standards through detailed documentation review. Collaborated with senior draftsmen and clientele to meet quality expectations and project timelines.

Support integration of pumps, reservoirs, and fluid flow sensors in a circulatory system to enable real-time hemodynamic monitoring. Developed standardized testing procedures to improve streamline repeatable data acquisition. Identifying novel performance metrics for Sequential Compression Device (SCD) sleeves to expand functional evaluation beyond current benchmarks.

●​ Programmed a MATLAB-Arduino interface for real-time collection, visualization, and storage of flow sensor data ●​ Designed and integrated fluid delivery and sensing systems within a compression-analog leg model for real-time flow monitoring ●​ Developed testing protocols and quantitative performance metrics for benchmarking Sequential Compression Device (SCD) sleeves

●​ Adapted hand-drafted residential drawings to SoftPlan 2016 ●​ Collaborated with senior draftsmen and clientele

Trained 12 high school students in RStudio, statistical analysis and data visualization. Supported students’ coding, troubleshooting, and data-driven decision making. Provided structured feedback on research design, improving participants’ technical competency and confidence. Facilitated team collaboration and delivered presentations translating technical concepts for diverse audiences.

Engineering Mathematics Minor.

Study Abroad Program.