PhD Candidate in Remote Sensing, Machine Learning, Biological Systems Engineering, and Environmental Science at University of Wisconsin-Madison
I specialize in remote sensing, applied machine learning, and data science, with expertise in satellite mapping, coding, computer vision, data visualization, and physical modeling in local and cloud-based platforms. Currently, I am part of a team developing a near real-time monitoring system for terrestrial carbon dioxide and water flux using data from the geostationary GOES-R platform. My research focuses on designing, managing, analyzing, and modeling diverse remote sensing datasets and machine learning models, aimed at advancing automation in agri-environmental and urban applications.
