Kate Luu holds a PhD in Biomedical Engineering and Computer Science from the University of Minnesota, Twin Cities. During her doctoral studies, she specialized in utilizing machine learning and deep learning models to interpret motor intentions from peripheral neural signals, showcasing her skill in applying advanced technologies to solve intricate problems. Currently, as a senior data scientist at Gilead, Kate leverages her expertise to analyze factors influencing clinical trial enrollment. Her work helps identify potential sites for enrolling patients to reduce operational costs and accelerate study timelines.