THE SEGURA LAB, UCLA CHEMICAL & BIOMOLECULAR ENGINEERING
Under the direction of Dr. Lina Nih, investigated brain tissue and blood regeneration in two different stroke mouse models to identify an accurate method to model human post-stroke angiogenesis. Proper modeling is critical to enable future experimental drug studies for stroke patients.
Led independent experiment planning and execution including solution preparation, animal behavior experiments, brain section imaging, fluorescence confocal microscopy, and imaging analysis with Image J and Prism. This culminated in a final thesis titled, Evaluation of the peri-infarct vasculature in two different mouse models of ischemic stroke: photo-thrombotic (PT) & Middle Cerebral Artery Occlusion (MCAo).
SCIENCE + TECHNOLOGY
UCLA researchers demonstrate new material that could aid body's cellular repair process
Injectable gel holds promise as wound-healing material for strokes
August 14, 2017
As a final term project, developed a machine learning algorithm using MATLAB to analyze brain electric wave signals by detecting and aligning spikes, extracting features, and clustering and classifying spikes. This technique known as electromyographic (EMG) signal decomposition represents neuromuscular electrical activities for biomedical and clinical applications including diagnosis, stimulation and prosthesis control.