People

Assistant Professor, NYU Courant

Develops scientific tools for observing, reasoning about, and modeling atmospheric and climate processes.

Postdoctoral Associate

Deep generative models and data-driven methods for dynamical systems, with applications in climate science.

Postdoctoral Researcher

Atmospheric processes and ML-based parameterizations of boundary layer turbulence and convection.

Postdoctoral Researcher

AI-based downscaling of climate data and urban climate, using generative models for high-resolution atmospheric fields.

Master Student

ARM observatory data retrieval and denoising using machine learning.

Master Student

Emulation of chaotic dynamical systems with Generative machine learning.

PhD Student

Subgrid-scale turbulent fluxes and convective-scale contributions to atmospheric turbulent kinetic energy.

Postdoctoral Researcher

Shallow-to-deep convection transitions using ARM observations, reanalysis, and deep learning.

Master Student

Precipitation predictabilty across scales using machine learning.

Visiting Researcher

Atmospheric dynamics, latent representations, and Koopman operator frameworks for convection.