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Geochronology & Modeling

My research focuses on understanding the rate and tempo of earth processes with an emphasis on modeling the long-term accumulation of sediment from stratigraphic sections and rock cores, using Bayesian modeling. My past research includes developing a version of the Bayesian {Bchron} modeling framework suitable for deep time (U-Pb, 40Ar/39Ar) applications.

Bayesian age-depth model of a composite section from the Santa Cruz Formation, Argentina.

Bayesian age-depth model of a composite section from the Santa Cruz Formation, Argentina.

The {Bchron} algorithm aims to model the accumulation of sediment as a probabilistic, stochastic process, with controls based on radioisotopic dates of discrete horizons to produce a model that relates stratigraphic position to absolute time in a statistical robust way.

Astrochronology

Currently I’m working on developing new methods to convolve radioisotopic dates and cyclostratigraphic records using a Bayesian framework to produce tuned age-depth models.

Bayesian age-depth model incorperating astrochronologic constraints

Bayesian age-depth model incorperating astrochronologic constraints