THE SEGURA LAB, UCLA CHEMICAL & BIOMOLECULAR ENGINEERING 

Researcher [2015-2017]

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).  

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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

THESIS DECK
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UCLA NEUROENGINEERING 

Developer [2016]

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.

PROJECT ANALYSIS
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