Stanford University
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Claudette Proctor
Ph.D. Student in Earth System Science, admitted Autumn 2021
Head Coach, Women's Club Soccer, Recreation Competitive SportsBioClaudette Proctor was born in Los Angeles, California. She double majored in Earth and Oceanographic Science and Hispanic Studies at Bowdoin College, graduating in 2021. She is now pursuing her doctoral studies in the Earth System Science department at the Stanford Doerr School of Sustainability. She is passionate about investigating the role and response of phytoplankton in polar regions, particularly in the context of Arctic amplification, which resulted in accelerated warming (up to four times faster) in the Arctic relative to the rate experienced by the rest of the globe as a result of anthropogenic climate change. Her research leverages a combination of fieldwork, experimental work, remote sensing, and modeling to better understand how changes in sea ice impact primary productivity, carbon cycling, and the entire Arctic ecosystem.
Claudette also teaches Introduction to the Marine Environment at Stanford and is committed to reducing barriers to student success. She is particularly interested in enhancing learning using evidence-based teaching strategies and prioritizing intention in course design and implementation. She also coaches club soccer at Stanford and enjoys arts and crafts. -
Adrienne Propp
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioI am a fourth year PhD student in ICME (the Institute for Computational and Mathematical Engineering). Prior to Stanford, I was working as a technical analyst at the RAND Corporation where I spent most of my time designing microsimulations and other models to investigate topics in healthcare, education, disaster relief, and international relations.
My research interests lie at the intersection of mathematics, data, and modeling, which has led me to a focus on scientific machine learning (SciML). Specifically, I am working on developing new graph-based surrogate modeling methods for low-data regimes. I am grateful to be advised by Daniel Tartakovsky, During my PhD, I have also collaborated with Jenny Suckale to model volcanic lava fountaining, and Susan Athey and Sanath Kumar Krishnamurthy to design improved algorithms for contextual bandits.
Past research projects have ranged from computational models of the heart to inverse modeling to predict satellite performance.
