My current research emphasis involves quantifying the geological record in order to better understand the processes that govern its formation and the role it has played in shaping the evolution of Earth systems. Specifically, I use macrostratigraphy to test hypotheses that span a range of topics, 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 programmers.
Macrostrat was originally built to test hypotheses for the correlation between the sedimentary rock and fossil records. Its spatially explicit and chronostratigraphically focused architecture is designed to serve as a scaffolding for describing the record as well as for organizing and analyzing geological data of all types.
Many geological sample-based data and observations are hard-earned and unique. Their primary mode of dissemenation has traditionally been publication, which makes the task of aggregating sepcific data time consuming. We are building a new type of digital library to support machine reading and learning approaches to geological data location and extraction from published documents.
Fieldwork is critical to testing many of the hypotheses that emerge from large-scale synthetic analyses of the rock record. Most of our team members are engaged in field work in the areas of stratigraphic paleobiology, and sedimentology and stratigraphy.