I am working on understanding seasonal-to-decadal predictability of AMOC in global climate models.

Prepared and submitted a paper analysing the role of ocean heat transport and surface heat fluxes in driving Arctic Ocean warming and sea-ice loss in global climate model simulations. Currently working on understanding the local overturning at the Fram Strait and Barents Sea Opening, its role in Arctic climate changes, and its links to local buoyancy forcing and AMOC farther south.

Prepared and submitted a journal article using high- and low-resolution versions of a coupled global climate model alongside atmospheric reanalysis-forced ocean simulations to show that a high-resolution ocean is necessary to accurately represent the water-mass transformation in North Atlantic deepwater formation regions. Also used a pattern recognition method to determine that despite climatological differences between the low- and high-resolution models, the mechanisms of low-frequency AMOC variability are similar.Mentored an undergraduate student on a project involving partitioning ocean heat transport anomalies in the Southern Ocean under CO2 forcing into contributions from dynamic ocean circulation changes and thermodynamic temperature changes.

Completed three projects, advised by Dr. Kyle Armour and Dr. LuAnne Thompson:Analysed mechanisms of northward ocean heat transport into the Arctic from the North Atlantic under internal decadal variability and CO2 forcing using Matlab-based data analysis methods, including compositing. Gained experience analysing low-resolution global climate model data with Matlab, conducting literature reviews, and writing publications. Also learnt data visualisation and compositing methods.Studied mechanisms driving low-frequency variability in North Atlantic Ocean heat transport in low-resolution climate models using Matlab-based data analysis methods. In particular, I used a novel unsupervised learning method called a low-frequency component analysis to isolate an index that emphasises low-frequency variance in the heat transport. I also developed an understanding of lead-lag regression analysis, which I used to study links between this index and other atmospheric and oceanic variables. Gained more experience writing publications, synthesising information from previous work, and engaging in self-study of concepts such as water-mass transformation and deep water formation.Used newly available data from a high-resolution ocean eddy-resolving coupled climate model alongside ocean model data forced with historical atmospheric reanalyses to determine what sets the time-mean water-mass transformation in North Atlantic deepwater formation regions. Gained experience working with large datasets from high-resolution models. Also improved Python data visualisation and analysis skills.Gained extensive experience with science communication, including presentations and poster sessions at academic conferences as well as experience communicating complex information through publications.

Aided in the teaching of:- Ocean 210 (Integrative Oceans)- Ocean 423 (Ocean Circulation and Climate)- Ocean 285 (Physics Across Oceanography - Fluid Dynamics and Waves)

Worked with Dr. Libe Washburn on studying wind relaxations off the California coast using buoy and mooring data. Used conditional averaging in Matlab to determine average water flow patterns during wind relaxations. Gained Matlab data visualisation and analysis skills, and wrote a senior thesis.

Worked with Dr. Anna Nierenberg and Dr. Tommaso Treu to determine whether gravitational lens galaxies have an excess of luminous substructure compared to non-lens galaxies using python-based statistical methods. Gained python programming experience and learnt to analyse satellite data from different surveys.