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As a Neurobiological Research Technologist at the University of Washington, I specialize in developing software solutions to analyze neurobiological data obtained from neural implants in freely-moving mice, aiming to deepen our understanding of sensory perception and behavior.
With a background in psychology, computer science, and audio engineering, I bring a diverse skill set to my work. Proficient in programming languages such as C++, Python, MATLAB, and JavaScript, I strive to create software tools that process and interpret complex datasets from neural recordings and behavioral neuroscience experiments.
Collaboration is integral to my approach. I work closely with researchers and engineers to develop and refine both software and hardware components of the neural implant system. Through effective teamwork, I have delivered solutions that streamline data analysis processes and provide insights into neural activity and function.
As I seek new opportunities, I am eager to contribute my passion for innovation and dedication to excellence to dynamic organizations. I look forward to leveraging my skills to push the boundaries of neurobiological research while exploring the intersection of neuroscience and music.
Featured work
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lane-neuro/research-analytics-suite
Research Analytics Suite (RAS): A collection of tools developed in Python with a focus on the aggregation and analysis of scientific data deriving from a multitude of input sources across professio…
Python 1