Lauren Gillespie

I am a PhD student in Stanford Computer Science whose work aims to increase understanding of global change ecology using state-of-the-art machine learning. Specifically, I want to try and better quantify biodiversity loss and ecosystem change at a variety of spatial and temporal scales so that we can A. start to understand the specific causal mechanisms behind loss of biodiversity across the tree of life and B. develop informed, precision strategies for mitigating this loss and adapting our ecosystems to a warmer and drier climate future. Broadly speaking, my research touches on research topics spanning remote sensing, global ecology, genomics, population genetics, and machine learning. I’m extremely grateful to have my work supported by an NSF Graduate Research Fellowship and a TomKat Graduate Fellowship for Translational Research. In the past, I have previously worked on interesting problems in evolutionary computation, computer vision, and high performance computing and I completed my undergrad at Southwestern University in Spring 2019 where I double majored in Computer Science and Chemistry.

For more information about me and my research, please visit my profile on the Stanford University website located here.