Bio

I've been fascinated by weather since I was a child, watching snowstorms at my home in New Hampshire. My interest in the weather took me to Cornell University to pursue a degree in Atmospheric Science. At Cornell, I wrote an undergraduate thesis focused on understanding changes in extreme precipitation and worked as a Research Intern at both the Northeast Regional Climate Center (NRCC) and the Mount Washington Weather Observatory over the course of my time as an undergraduate.  I am now a Ph.D. candidate at the Earth System Science Department at UC Irvine in the school of Physical Sciences. My thesis focuses both on how machine learning methods can help us both build the next generation of superior climate models and analyze massive volumes of climate simulation output objectively for novel dynamic analysis. Since June of 2022, I have been on a leave of absence to work at the Google Accelerated Sciences Team building neural networks to improve medium range weather forecasting.