I am a physical oceanographer, interested in how we bring theoretical constructs and inferences together with observations to meet the needs of modern society. Combining domain knowledge with advanced techniques from data science, I aim to create new insight and accelerate exploration. I primarily see myself as a physical oceanographer, but have a formal background in computer science/data science as my thesis sponsored by the EPSRC was joint between the very diverse National Oceanography Centre, Southampton, and the excellent Institute for Complex Systems Simulation. I joined MIT as a Postdoctoral Associate working with Carl Wunsch, Patrick Heimbach and Steph Dutkiewitz, before going to Princeton University as an Associate Research Scholar. I have held visiting positions at Harvard University, and the University of Texas (UT) at Austin and I am currently a visiting scientist at the University of Washington.
My service activities include convening and chairing at AGU, EGU, SCCS, the NOAA AI workshop and local seminars. Talks I have been invited to give include for the NOAA Senior Management Meeting (OAR), the Department of Energy, AGU, the Max Planck Institute, the Kavli Institute for Theoretical Physics and various colloquia. I have served as a reviewer on a NASA panel and for numerous journals. My work has been featured in the NOAA AI strategy 2021-2025, and I have authored two review articles (see publications). I am commited to raising awareness around climate change, and have contributed to the Carbon brief, held sessions at summer camps and open days at museums.