Stanford Doerr School of Sustainability
Showing 1,211-1,220 of 1,462 Results
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Harshit Singh
Research Assistant, Woods Research Natural Capital Project
Staff, Woods Research Natural Capital ProjectBioHarshit Singh is an AI Researcher and Engineer working across generative AI, agentic systems, and environmental modeling. He is currently working on the Natural Capital Project at Stanford, where he develops LLM-driven workflows for the InVEST ecosystem to enhance automation, data integration, and sustainable development research. He is also building HarshanAI, an emotionally intelligent voice-AI companion.
Previously, he worked at Amazon Web Services, contributing to Bedrock Flows and AgentCore for large-scale generative AI systems and at the MIT-IBM Watson AI Lab, leading DiffuseKronA as first author and advancing parameter-efficient methods for personalized diffusion models. He has also supported climate and energy research at the Center for Global Sustainability, University of Maryland through the development of G-MAST, a global methane abatement solutions database. His work emphasizes practical innovation, scalable AI systems, and applying machine learning to real-world societal and sustainability challenges. -
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). -
Norman Sleep
Professor of Geophysics, Emeritus
Current Research and Scholarly InterestsPhysics of large-scale processes in the Earth
