Rachel's journey into technology was sparked by a passion for storytelling and understanding complex human experiences—interests that now drive her work in natural language processing, human-computer interaction, and data systems. What began behind a camera lens has evolved into building intelligent, responsive systems that interpret and support human needs in meaningful ways.
She is currently pursuing a Master's degree in Human-Computer Interaction at the University of Michigan, where she explores the intersection of NLP, data, and design. Her coursework in Building Interactive Applications and Database Application Design equips her to design and implement user-friendly applications with efficient data storage and retrieval. She applies these skills to enhance user experiences, support decision-making, and develop tools that empower social impact initiatives.
Rachel thrives in interdisciplinary environments that blend technical rigor with creativity. With strong interests in psychology, sustainability, ethics, and inclusive design, she brings a research-driven yet empathetic approach to every project.