Postdoctoral Fellow at University of Michigan- School for Environment and Sustainability
Cambridge, Massachusetts, United States
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Lauren E is a METEOR Postdoctoral Fellow at MIT EECS and an incoming Assistant Professor at the University of Michigan’s School for Environment and Sustainability, bringing 10 years of experience at the intersection of machine learning and conservation. She recently completed a PhD in Computer Science at Stanford and was a Fulbright researcher in Brazil, where she developed field-informed ML approaches for biodiversity monitoring. Her work focuses on scaling cutting-edge geospatial and ecological ML methods to deliver actionable conservation insights and restoration planning. Known for bridging rigorous academic research with practical environmental impact, she combines computational depth with cross-disciplinary training in chemistry and data science. An early-career leader, she brings proven international collaboration experience and a track record of translating sensors and models into conservation decision tools.
10 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Stanford University School of Engineering
Bachelor of Science (BS), Bachelor of Science (BS) at Southwestern University
Presented as a late-breaking poster at ALife 2018. Variable-length NK landscape used for investigating the effect of environmental change on gene length even in the presence of high mutation rates.
Contributions:1 PR, 72 pushes, 3 branches in 1 year 10 months
ratesalifemutationenvironmentaldeep-learning
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Lauren E - Postdoctoral Fellow at University of Michigan- School for Environment and Sustainability