Stanford University
Showing 4,101-4,150 of 5,077 Results
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Dima Subbotin
MBA, expected graduation 2027
BioDima Subbotin is a product and customer experience leader who has spent the past decade building global tech products and teams, most recently helping launch a streaming platform across the Middle East and Central Asia. He thrives on connecting technology with people, from designing customer-centric services to mentoring young product managers. Outside of work, Dima is an avid runner who has completed marathons around the world and founded a community for slow runners, as well as a passionate traveler who has explored 30+ countries and led group journeys. He enjoys blending creativity and structure in everything he does, whether experimenting with new AI projects, curating cultural experiences, or helping friends navigate big life transitions.
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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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Tao Sun
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsI develop geometric representations and generative models that help robots understand and act in the 3D world. My research spans point cloud registration, shape assembly, spatial reasoning, and compositional planning. I am particularly interested in world-action models that connect perception and prediction with robot planning and control.
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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.
