Studying how geophysical, chemical, and biological processes conspired to trace out Earth’s climate past helps us understand modern ocean and climate dynamics, human evolution, and conditions on other worlds.
My research combines numerical models and observations of the natural world to learn about the dynamics of Earth’s oceans and climate in the present, future, and geologic past.Download my CV
PhD in Physical Oceanography, 2016
MIT/WHOI Joint Program
BA in Physics, 2009
We are using the MITgcm adjoint to infer atmospheric changes (like wind stress amplitudes, in red) that change abyssal watermass distributions in ways suggested by paleo data.
Fitting numerical models to observations paints a physically consistent picture of the ocean 20,000 years ago.
I am extending the Last Millennium Reanalysis to include ocean observations and determine what we can – and can’t – say about internal climate variability over the last 1000 years.
Using proxy data is like playing a game of ‘telephone’ with past climate – sometimes the information gets garbled. I am working to quantify errors arising from proxy sampling procedures.
Simulating ocean tracers is computationally expensive. New online extrapolation and preconditioning techniques allow us to estimate equilibria in a fraction of the time.