About Me
I am a Postdoctoral Researcher at the Courant Institute of Mathematical Sciences, New York University. Prior to this role, I served as a Postdoctoral Research Associate at the University of Illinois Chicago, where I worked in close collaboration with Argonne National Laboratory.
Currently, my research is centered on two primary pillars. The first is AI-based downscaling of climate data, with a specific focus on leveraging generative frameworks such as Diffusion models and GANs to enhance spatial resolution and capture fine-grained atmospheric features. The second is urban climate, encompassing multi-scale observations, physical analysis, numerical modeling, and comprehensive impact assessments.
However, these two areas are deeply interconnected. The high-fidelity climate signals generated through AI downscaling are essential for understanding the complex microclimates of urban environments. By integrating generative AI with physical urban modeling, I aim to bridge the gap between global climate projections and local-scale realities, ultimately providing more accurate tools for urban heat mitigation and climate resilience planning.
--- **Featured Updates**
AGU GEC Early Career Spotlight
GeoHealth Top Cited Paper Award
Interview with AP News
