My current research emphasis involves quantifying the geological record in order to better understand the role it has played in shaping the evolution of the Earth system. Specifically, I use macrostratigraphy to test hypotheses that span a range of earth systems, including the evolution of marine and terrestrial life, biogeochemical cycling and global climate, and rates of rock cycling via crustal uplift and subsidence. I'm lucky to work with a great team consisting of postdoctoral fellows, students, and programmer analysts.
Macrostrat was originally built to test hypotheses for the correlation between the sedimentary rock and fossil records. It is spatially explicit and chronostratigraphically focused and serves as a scaffolding for organizing and analyzing geological data of all types.
Many geological sample-based data are hard-earned and often unique. Their primary mode of dissemenation has traditionally been via publication, which makes aggregating data synthetic analyses prohibitively time consuming. We are building a new type of digital library to support machine reading and learning approaches to geological data extraction.
Fieldwork is often critical to testing hypotheses that emerge from large-scale synthetic analyses, and most of our team members are engaged in field work, ranging from stratigraphic paleobiology to sedimentology and stratigraphy.