Stanford University
Showing 1,161-1,170 of 1,356 Results
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Hanif Sulaiman
Ph.D. Student in Earth System Science, admitted Autumn 2022
BioI'm interested in the marine nitrogen cycle, particularly in nitrous oxide (N2O), a potent greenhouse gas that plays a key role in stratospheric ozone destruction. I'm focused on delineating nitrous oxide's accumulation (production-consumption) pathways in various oceanographic regions.
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Joanna Sun
Assistant Director of Student Services, Energy Science & Engineering
Current Role at StanfordStudent Services, Department of Energy Science and Engineering
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Yida Sun
Affiliate, Earth System Science
BioYida Sun’s research examines how climate extremes and trade disruptions spread through infrastructure and global supply chains, shaping economic outcomes and the transition to sustainable energy. He combines climate modeling, engineering, and economic models to explore how interconnected systems can become more resilient and sustainable. His doctoral research at Tsinghua University and visiting research at the University of Cambridge focused on climate risks to infrastructure and economic networks. His work has appeared in Nature, Nature Climate Change, and Nature Health.
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Yudong Sun
Postdoctoral Scholar, Geophysics
BioYudong's study areas are earthquake physics, numerical modeling, InSAR, glaciology, and geodynamics. He specializes in numerical simulations of earthquake cycles and dynamic ruptures, integrating models with observations and laboratory experiments. He has published papers covering topics including back-propagating ruptures, slow slip events, fault roughness, deformation of glaciers, and lithospheres.
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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.
