Eliana Phillips is a Programmer/Analyst II at the UCSF Medical Imaging Informatics and AI Lab, where she supports research in neuroimaging, computational neuroscience, and AI-driven biomedical data analysis. She holds a Master’s degree in Scientific Computing and Applied Mathematics from the University of California, Santa Cruz. Her work focuses on developing and maintaining data processing pipelines, integrating imaging informatics tools, and supporting machine learning initiatives related to Alzheimer's disease and other neurological conditions. Eliana is proficient in Python, MATLAB, and R, and contributes to cross-functional teams advancing translational imaging research. She is passionate about using computational methods to improve diagnostics and deepen our understanding of brain health.