I am a Senior Data Scientist at the newly developing Climate Analytics team at McKinsey & Company. Our group spun off of McKinsey’s ACRE practice and focuses primarily on physical and transition risk of climate change.
During my PhD, I analyzed output from state-of-the-art Earth System Models (ESMs) to understand the impacts of internal climate variability and anthropogenic climate change on regional ocean biogeochemistry. In particular, I focused on carbonate chemistry in Eastern Boundary Upwelling Systems and more recently the Southern Ocean.
My toolkit generally includes multi-model and single-model ensembles. I have used these to assess signal-to-noise ratios in long-term projections of upwelling (Brady et al., 2017), to isolate the influence of internal climate variability on air-sea CO fluxes (Brady et al., 2019), and to make multiyear forecasts of pH (Brady et al., 2020). On occasion, I assess satellite and in situ products, but am most eager to use supercomputers in my work.
I contribute to a number of open-source python packages for the geosciences and am a core developer for climpred and esmtools. I am passionate about data visualization and have recently been working with ParaView to make movies of high-resolution climate models.
|Mar 2, 2021||My work with Aaron Spring developing the climpred python package for weather and climate verification is now published in the Journal of Open Source Software.|
|Jan 5, 2021||I successfully defended my Ph.D. in Atmospheric & Oceanic Sciences at CU Boulder! I am now a Senior Data Scientist in Climate Analytics at McKinsey & Company’s ACRE practice.|
|Nov 20, 2020||Our paper on the Lagrangian circulation of carbon in the Southern Ocean has been submitted to GRL. You can view the pre-print here.|
|Oct 25, 2020||
Our paper documenting the open-source package
|Aug 15, 2020||Our collaborative piece lead by Sarah Schlunegger on Large Ensemble applications for marine biogeochemistry has been released in the latest US CLIVAR Variations newsletter.|