I am an atmospheric physicist and climate modeler with a profound passion for understanding the intricate link between sub-grid momentum, heat, and moisture turbulent processes in the boundary layer and their role in shaping extreme wind speeds and gusts associated with mesoscale systems, including midlatitude and tropical cyclones, as well as mesoscale convective systems. My academic journey began with a first-class degree in theoretical physics from Imperial College London, where my thesis earned me the Tessella prize for the innovative use of computational methods in physics. I then pursued and completed a PhD in Atmosphere, Ocean, and Climate at the University of Reading in collaboration with the Met Office, advised by Suzanne Gray and by Huw Lewis (Met Office).

Currently, as a postdoctoral research associate at Princeton University GFDL/NOAA my focus is on enhancing the representation of sub-grid boundary layer momentum flux in the GFDL-AM4 atmospheric climate model, hosted by Ming Zhao and Leo Donner at GFDL. I aim to address the deficiencies observed in climate simulations of tropical cyclones, midlatitude cyclones, shallow cumuli, and low-level jets, which have historically posed challenges in climate modeling. To achieve this, I am implementing in the GFDL atmospheric climate model AM4 a novel parameterization of momentum transport that directly prognoses sub-grid momentum fluxes. This approach closely adheres to the governing Navier-Stokes equations, promising higher accuracy and generality compared to the current crude parameterizations.

Concurrently, I have focused on understanding extreme wind speeds and their potential changes under a warming climate. Using idealized warmer climate simulations with the GFDL-AM4 model, I identified a poleward shift in extreme near-surface winds, with hot spots in Northwestern Europe, the British Isles, and the West Coast of North America. This work was featured in NOAA's 2023 GFDL winter bulletin and a research highlight. Additionally, using X-SHiELD’s high resolution, I analyzed the warm and cold sectors of midlatitude cyclones, finding significant wind speed and precipitation increases in the warm sector under warming scenarios.

Another area of my interest lies in understanding the impact of improved air-sea interactions achieved through coupling atmosphere, ocean, and wave model components into a unified Numerical Weather Prediction system. This endeavor seeks to better predict extreme surface wind speeds associated with mesoscale systems over the ocean and coastal regions. Additionally, I am dedicated to exploring methodologies that can effectively identify mesoscale features of mid-latitude cyclones linked to extreme wind and gust events, ranging from convection-permitting to climate-scale runs.

In my leisure time, I enjoy playing volleyball and tennis, indulging in music ensembles while playing the piano, reading books, preparing delicious meals for my friends, and venturing into nature through hikes. Additionally, I love exploring new countries and their cultures.