My name is Jeremy Diaz. I'm a M.S. + Ph.D. student in the Department of Geography, specifically in Dr. Guido Cervone’s Geoinformatics and Earth Observation Laboratory. I earned my B.A. from the University of Colorado Boulder (CU) majoring in Ecology and Evolutionary Biology and minoring in Geography and Applied Mathematics (Statistics emphasis).
I began working in scientific research my freshman year of undergraduate in a soil ecology lab at the Cooperative Institute for Research in Environmental Sciences (CIRES) helping to develop an R package to analyze DNA gathered from environmental samples. After that, I began a position at the National Snow and Ice Data Center (NSIDC) digitizing previously unarchived satellite film from the 1960s and updating technical documentation for the NSIDC Distributive Active Archive Center (DAAC). I then spent the next three years at the Earth Lab Analytics Hub. There, utilizing deep learning and cloud computing, I developed predictive models for the occurrence, management, and impacts of natural disasters. These projects often required the use of remote sensing, computer vision, natural language processing, and the fusion of heterogeneous data sources. In addition to predictive modeling, I have experience in data visualization consulting and teaching a workshop on machine learning, git, Docker, and python.
During my time as a graduate student at Penn State, I hope to work broadly on remote sensing (hyperspectral and UAVs) and spatiotemporal algorithm development with an emphasis on environmental hazards.