Stanford Doerr School of Sustainability
Showing 1-21 of 21 Results
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Ayako Kawano
Ph.D. Student in Environment and Resources, admitted Autumn 2022
BioAyako Kawano is a Ph.D. student at Stanford University. Her research interests include the impact analysis of air pollution on population health and climate change in low- and middle-income countries using remote sensing data and machine learning methods. Before coming to Stanford, she worked as a Data Scientist at UN Global Pulse and as a Program Manager at the United Nations Industrial Development Organization (UNIDO).
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Madolyn Kelm
Ph.D. Student in Oceans, admitted Summer 2024
BioMadolyn Kelm is a Ph.D. student in Oceans at Stanford University, specializing in the biophysical interactions of kelp aquaculture in Southern California. Her research aims to optimize farming productivity through predictive modeling. Currently, she is working on validating the MacroAlgae Cultivation MODeling System (MACMODS) through the NSF Graduate Research Fellowship to advance sustainable kelp farming practices.
With a unique interdisciplinary background, Madolyn integrates biological and physical dynamics to drive focused coastal ocean research. Committed to addressing the impacts of climate change on coastal ecosystems, she aspires to become a professor and contribute to fostering diversity in STEM. -
Filippos Kostakis
Ph.D. Student in Energy Resources Engineering, admitted Winter 2020
Current Research and Scholarly InterestsMutlifidelity strategies for uncertainty quantification, data assimilation and optimization in oil and gas reservoirs.
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Emma Krasovich Southworth
Ph.D. Student in Environment and Resources, admitted Autumn 2022
BioEmma is interested in exploring how we can promote the health of people and the environment in a changing world. Her research aims to measure, value, and predict the impacts of global environmental change on our ecosystems, environmental quality, and human health. She leverages different types and scales of data, including field collected ecological data to remotely sensed data to epidemiological data on human health outcomes, and she relates these datasets together by drawing on methods and tools from various disciplines, such as machine learning, causal inference, and exposure assessment. Her current research focuses on how changes to air quality, land use, and water quality, which are three resources that are critical to the functioning of healthy ecosystems have consequences for both the environment and human health. Emma is co-advised by Erin Mordecai and Marshall Burke, and she is a NSF Graduate Research Fellow, a Stanford EDGE Fellow, and a Stanford Data Science Scholar.
Prior to starting her PhD, Emma worked as a Research Analyst at the Global Policy Lab at UC Berkeley (now at Stanford). During her time at GPL, she was part of a project that aimed to identify land-based sources of nonpoint source water pollution in national-scale river systems in New Zealand and the US Mississippi River Basin. Emma completed her MPH in global and environmental health science and global health at Columbia University and received a BA in behavioral neuroscience from Colgate University.
When she isn’t at her desk, you can find her outside - most likely running or hiking up a mountain. She also co-founded a trivia company and loves to host trivia nights to bring communities together.
