Katie Ly Email & Phone Number

High-throughput ML analysis of behavior phenotyping in Alzheimer’s Disease mice models

Coordinate with scientists to deliver large wave-based simulation data, optimize workflow from data input to data generation, and analyze data for quality. Experience with large multi-dimensional data, 3D software, Python, HPC clusters, and Linux.

Seattle, Wa

GRID Lab || Neural Systems LabProject 1: -Evaluate relationship between ECoG and sustained upper-extremity output-Filter and process ECoG, EMG, and pressure signals in MATLAB-Perform machine learning and statistics for data analysis and acquisition-Present findings at Society of Neuroscience with poster-Submit conference paper to IEEE Systems, Man, and Cybernetics Conference -Present findings at CSNE Student Extravaganza with 15-min oral presentationProject 2:-Generate quantification methods for visuomotor adaptive behavior

Seattle, Wa

Ability & Innovation Lab Project 1: -Processed synchronized motion capture and ultrasonography image data from gait experiments to evaluate the effects of AFO stiffness on gait.-Conducted gait experiments-Present research findings at Northwest Biomechanics SymposiumProject 2:-Analyze joint kinematics and center of mass movement using OpenSim and MATLAB-Present research findings at CSNE REU symposium-Edit and proofread paper for Journal of Biomechanics submission

Seattle, Wa

I studied the relationship between Ankle Foot Orthosis (AFO) stiffness, joint kinematics, and center of mass movement using motion capture data, computational models in OpenSim and EMG data.

- Utilized verbal and written communication skills to answer students’ questions and to demonstrate abstract Computer Science concepts to students from 2nd to 11th grade- Worked in a fast-paced atmosphere, learned to quickly debug code

Seattle, Wa

-Directed group tennis lessons for introductory to advanced levels -Applied leadership skills to problem solve quickly, communicated concepts to students effectively, and catered lesson plans to students’ strengths, weaknesses, and interests