I support HUB analytics at Propensity4 by helping organize, analyze, and communicate patient-focused and patient support program data. My work specifically focuses on making this aspect of healthcare data clearer and more useful for internal teams and clients, with experience across reporting, data analysis, visualization research, and healthcare operations. My background background in physics, healthcare, research, and data analytics drives me to investigate positive patient-focused decision-making here at P4.
I’ve an academic foundation in physics, neurobiology, healthcare dynamics, and research, with strengths in quantitative problem-solving, scientific analysis, data interpretation, and scientific communication. My research experience has helped me develop strong fundamentals in analytical thinking and science-based problem solving.
I am passionate about using quantitative methods to solve complex problems, improve patient-oriented experiences, and support meaningful work in healthcare. I enjoy learning how to use new tools, building data visualizations, and translating large amounts of information into a clear, useful story.
Outside of work, I enjoy playing semi-professional soccer, strength training, working on cars, learning new programming skills, and stop-motion animating.
“Stay curious, keep learning, and keep improving!”