About Me
I am an atmospheric scientist and postdoctoral researcher working at the intersection of climate science and energy systems. With a PhD in Civil and Environmental Engineering from Northeastern University, I specialize in combining physics-based modeling with advanced AI techniques to understand how weather extremes and climate change affect the reliability of renewable energy grids.
Currently a Postdoctoral Researcher in Prof. Michael Howland's lab at MIT's Department of Civil and Environmental Engineering, my work is part of MIT's Climate Grand Challenges program. I develop and adapt hybrid physics-AI models for weather extremes, and tools to quantify how compound meteorological events drive power grid stress and resource adequacy failures.
My background spans precipitation forecasting, remote sensing, and hydrologic risk, which I now bring to questions of renewable energy siting, climate-energy coupling, and grid resilience. My research has been published in Nature journals and I have worked with stakeholders including federal agencies, water utilities, and energy operators.
