People

Assistant Professor, NYU Courant

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

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.

Postdoctoral Researcher

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

Visiting Researcher

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

Postdoctoral Associate

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

Master Student

Emulation of chaotic dynamical systems with Generative machine learning.

Master Student

Precipitation predictabilty across scales using machine learning.