My research focuses on soil spectroscopy, a technology that uses machine learning to predict soil characteristics based on how soil samples absorb or reflect light. I focus on the statistical side of this field, where I translate raw spectral data into insights about soil properties to support research on soil systems.
My passion lies at the intersection of statistical analysis and environmental research, an area I’ve explored while pursuing a B.S. in Statistics and Environmental Science at the University of Rochester. Climate systems are incredibly dynamic, and climate-related data can be difficult to work with. As someone who loves the intricacies of problem-solving, I am eager to contribute to research that improves our understanding of modern environmental challenges and solutions.
I grew up in the heart of New York City, where my interactions with nature were limited. Living in an urban landscape helped me recognize the profound influence that humans have in shaping our natural environment — both for better and for worse. This experience shaped my dedication to environmental conservation and minimizing the harmful impact that humans have on the climate.
In my free time, I enjoy reading, coding in R, playing the piano, and listening to The Beatles.
