I am developing AI tools that bring Woodwell’s diverse environmental datasets—spanning topics from Arctic ecosystems, to Amazonian wildfires, to Ethiopian flood risks—together within a unified framework in order to provide more accurate and efficient environmental predictions across different domains.
My goal in this work is to develop predictive tools that will help create a more sustainable and resilient world for people and ecosystems. Since my master’s studies at the University of Connecticut and now as a PhD student at Cornell University, I have been developing and applying both physical and AI machine learning models to address environmental and water resources challenges. I love doing research at the intersection of water, climate, and society, and I hope to continue pursuing this work as a lifelong researcher.
In my free time, I enjoy spending time in nature, especially hiking. I also like playing chess, reading scifi novels, and watching movies and TV series.
