Stanford Doerr School of Sustainability
Showing 41-60 of 64 Results
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Fridah Nyakundi
Ph.D. Student in Environment and Resources, admitted Autumn 2021
BioI am a Ph.D. candidate in Environment and Resources at Stanford University’s Emmett Interdisciplinary Program in Environment and Resources (E-IPER). My research sits at the intersection of environmental and natural resource economics and land system science, applying remote sensing and economic methods to understand how natural resource use shapes livelihoods and ecosystems in low- and middle-income countries. Currently, my doctoral work focuses on the risks and decision-making strategies in aquaculture systems, with a case study on Nile Tilapia cage farming in Lake Victoria. While aquaculture is the subject of my current research, my broader interests span natural resource management (NRM) economics, agriculture and environmental economics, land system science, and food systems resilience. Before graduate school, I spent five years at the International Centre for Tropical Agriculture (CIAT), supporting the design and execution of large-scale impact assessments and leading the setup of data systems for the Africa research team. I have been a fellow at Environment for Development (EfD) Kenya since 2017, contributing to applied water and resource economics research.
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Maggie Poulos
Ph.D. Student in Environment and Resources, admitted Autumn 2023
HIA Mentor, Stanford Arts InstituteBioMaggie is a PhD student in Stanford University's E-IPER Program interested in intersectional equity and blue justice through the lens of marine resource management in Kenya and Tanzania. In exploring resource access and collective action through local governance mechanisms, she studies the motivations behind and challenges to diverse participation in local marine governance, as well as opportunities for encouraging gendered inclusion. Through a co-production of knowledge framework and related field research tools, Maggie aims to co-create applied research that makes marine policy a more diverse and equitable space for local and Indigenous communities. Before her time at Stanford, Maggie earned a Master of Public Policy from Duke University and a Bachelor of Arts in Political Science and International Studies from Macalester College.
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Sergio Sánchez López
Ph.D. Student in Environment and Resources, admitted Autumn 2021
Program Assistant, Stanford Doerr School of Sustainability - Dean's Office
Research Asst-Graduate-Hourly, Stanford Doerr School of Sustainability - Dean's OfficeBioSergio is an environmental justice advocate. Originally from Mexico City, he has experience working in the public, private and non-profit sectors both in Mexico and the USA. He has drafted bills and policy proposals related to land management, natural resources, renewable energy, and indigenous communities. His research interests relate to how to accelerate the clean energy transition in an equitable, diverse, and inclusive way. He holds a bachelor's degree in international business from the Monterrey Institute of Technology and Higher Education in Mexico, a J.D. from the National Autonomous University of Mexico, an LL.M in environmental law & policy from Stanford Law School, and is a former Schneider Fellow. Sergio is passionate about water sports and the beach.
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Alyson Singleton
Ph.D. Student in Environment and Resources, admitted Autumn 2021
BioAly is a PhD student in the Emmett Interdisciplinary Program in Environment & Resources, investigating the impact of large-scale global change on infectious disease transmission and broader health dynamics. Based on the concepts of One Health and Planetary Health, she focuses on the design and evaluation of win-win solutions that can synergistically benefit human and environmental health. As we anticipate widening disease disparities under increasing climate and land-use change, her research aims to identify opportunities to prevent and mitigate these compounding harms. She approaches these topics by integrating novel computational methods, field-data collection, and epidemiologic techniques.
Prior to coming to Stanford, Aly was a Data Science Fellow at the Centers for Disease Control and Prevention where she developed analytic tools for outbreak detection and triage of multiple pathogens and supported the CDC’s Novel Coronavirus (COVID-19) Response. She also worked at the People, Place & Health Collective at the Brown University School of Public Health while earning her undergraduate (BS, Applied Mathematics) and master's degrees (MA, Biostatistics). -
Adam Spitzig
Ph.D. Student in Environment and Resources, admitted Autumn 2024
Student Worker, Ethics In SocietyBioAdam Spitzig is a PhD candidate in Environment and Resources (E-IPER) at Stanford University’s Doerr School of Sustainability. He is a historical ecologist and data scientist whose research examines long-term biodiversity dynamics and their human drivers.
His work integrates paleoecological data (especially fossil pollen records), archaeological and historical sources, geospatial analysis, and statistical modeling to understand when and how human societies have increased, maintained, or reduced biodiversity. He is particularly interested in identifying cases of sustained anthropogenic biodiversity expansion and examining the institutional, economic, infrastructural, and land-use processes that produced them. His work also explores how long-term ecological knowledge can inform contemporary conservation and restoration strategy.
Before beginning his PhD, he led ecological modeling and machine learning initiatives in conservation and technology organizations, including Ducks Unlimited and several data-driven startups.
He holds a Master in Public Administration from Harvard University, a Master of Information & Data Science from UC Berkeley, a Master of Environmental Management and a Juris Doctor from Duke University, and a BA from the University of Florida. -
Veda Sunkara
Ph.D. Student in Environment and Resources, admitted Autumn 2024
BioVeda Sunkara (she/her) is an E-IPER PhD student interested in studying disaster adaptation approaches and equity in outcomes for flood-prone communities in the face of increasing extremes due to climate change. Prior to starting her PhD, she worked as a Senior Machine Learning Engineer at Floodbase (formerly Cloud to Street), where she built machine learning algorithms to create flood maps from remotely-sensed imagery, in-situ sensors, and physics-based models for disaster planning and parametric flood insurance. She seeks to combine her earth observation and machine learning expertise with community-centered research to co-develop the data necessary to enable long term adaptation and resilience to flooding. She holds a B.S. and M.S. in Computer Science from Brown University.
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Jayson Toweh
Ph.D. Student in Environment and Resources, admitted Autumn 2021
Current Research and Scholarly InterestsAssessing the Health Impacts of the Major California Outages between 2017-2019
This research aims to investigate the relationship between major power outages and hospitalizations in California. Using outage data between 2017 and 2019, we are working to identify the hospitalization rates following outages. Additionally, we are evaluating how severe weather-caused outages can further impact hospitalizations. -
Katie Wu
Ph.D. Student in Environment and Resources, admitted Autumn 2022
Ph.D. Minor, Civil and Environmental EngineeringBioKatie's research explores how community-driven social interventions and infrastructure development impact community and climate resilience in informal settlements. Her work advances how we operationalize resilience to better inform community-based strategies, policy, and investments that support urban transformation for vulnerable populations. She incorporates participatory methods essential for driving community-led efforts, ensuring a community's deep participation in every step of the iterative analysis, planning, and decision-making processes, in collaboration with multi-sectoral partners and decision-makers. Katie integrates advanced data science techniques, including network science and graph neural networks (GNNs), with community-generated, ground-truthed data to redefine how resilience is measured and applied for more equitable, community-driven strategies for sustainable development. She uses unconventional data sources, such as satellite imagery and citizen-sourced data, to model the built and natural environment in areas with limited conventional data.
Prior to Stanford, Katie studied data science and AI for Product Innovation at Duke University, where she obtained a Master of Engineering Management (MEM). She was a Sustainability Graduate Intern at Lyft, Inc., where she completed and rebuilt their 2020 Greenhouse Gas (GHG) Inventory and Report and designed an air quality model forecasting potential health benefits of EV adoption for underserved communities. She received an M.S. in Medical Science from the University of Colorado School of Medicine and a B.S. in Animal Science with Distinction in Research from Cornell University. Katie is a Dean's Graduate Scholar in the Doerr School of Sustainability, an Emerson Consequential Scholar with the Stanford Technology Ventures Program (STVP), a Graduate Fellow at the Stanford Institute for Human-Centered AI (HAI), and a Stanford Dalai Lama Fellow.
