My research interests focus primarily on combining a range of techniques across the disciplines of geosciences, data science, and environmental sciences to further improve our understanding of the earth's crust, and the socio-dynamics of our interactions with the environment. My research works to refine and employ a wide range of interpretation tools and workflows based in data science and a large variety of machine learning methods to improve our workflows in multi-attribute seismic analysis, and seismic geomorphology.. I am currently working on a variety of projects including improving the seismic identification of gas hydrate zones in the subsurface, as well as techniques to improve reservoir characterization and prediction on the sub-seismic scale for carbon capture and geothermal energy, as well as new methods to understand the dynamics between the environment and society in the presence of climate challenges
