Riley X. Brady

Senior Data Scientist – Climate Analytics, McKinsey & Company

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.

You can find an html copy of my CV here and PDF version here. My one-page industry resume can be found here.


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 climpred is under review at Journal of Open Source Software. You can follow that here.
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.