About
I am a postdoctoral researcher working under the guidance of Professors Hannah Christensen and Tim Woollings.
I am broadly interested in investigating the energy cascade and its reflection from small-scale to meso- and large-scale circulations in a warming atmosphere, with a particular focus on convective organization, which aggregates discrete clouds into severe storms. My research aims to:
- Diagnose model biases in representing convective organization using Lagrangian analysis on simulations, observations, and analysis increment.
- Develop data-driven parameterizations that leverage both stochastic physics and machine learning to mitigate these biases.
- Apply these advanced parameterizations to improve the prediction of extreme precipitation events and the Madden-Julian Oscillation.
Research interests
Convective Organization
Stochastic Sub- and Sir- Grid Parameterization
Machine Learning
Madden-Julian Oscillation Prediction
Extreme Precipitation Prediction
Climate Change