Projects & themes
My research spans climate dynamics, multi-model prediction, AI/ML, and applied climate services — connecting physical understanding to the forecasts people depend on.
ENSO Dynamics & Predictability
Diagnosing mechanisms of El Niño–Southern Oscillation variability and characterizing seasonal-to-interannual forecast skill across multi-model ensembles.
Indian Ocean Dipole & Teleconnections
Investigating IOD–ENSO interactions and their downstream impacts on monsoon regions and global teleconnections.
Subseasonal-to-Seasonal Forecasting
Improving S2S forecast skill and uncertainty quantification using the S2S, SubX, and NMME multi-model archives.
North American Circulation Regimes
Identifying year-round atmospheric circulation regimes over North America and their role in driving extreme temperature and precipitation events.
AI Foundation Models for Climate
Exploring how AI/ML and foundation models can advance Earth system prediction and quantify windows of predictability.
Forecast Applications & Co-Production
Co-producing tailored climate information with partners in water, agriculture, health, energy, and insurance sectors.