School of Earth, Energy and Environmental Sciences


Showing 1-3 of 3 Results

  • Ryan OConnor

    Ryan OConnor

    Ph.D. Student in Environment and Resources

    BioI am interested in community-based solutions to challenges in coastal marine conservation and restoration. Broadly, I am interested in understanding how human societies interact with their local marine environments. In particular, my research seeks to examine how participation in monitoring and governance influences personal relationships with management systems. By understanding how a person's relationship to the ocean, personal history with nature, and social context shape individual perceptions of marine conservation, I seek to inform the co-production of sustainable ocean management programs.

    Prior to my work at Stanford, I served as an officer in the US Navy working on international logistics policy research and development. I most recently worked as an environmental policy consultant and geospatial project manager for AECOM Technical Services, helping to administer the National Flood Insurance Program, leading multi-hazard mapping, policy analysis, and legislative affairs efforts in support of disaster and climate resilience across the United States.

    I earned by Bachelor's Degree in Environmental Science from the University of Virginia in 2017.

  • Alison Ong

    Alison Ong

    Ph.D. Student in Environment and Resources

    BioAlison Ong is a PhD student in the Emmett Interdisciplinary Program for Environment and Resources. Prior to graduate school, she worked at Energy and Environmental Economics Inc. (E3) in San Francisco and most recently was a Fulbright Scholar in Melbourne, Australia. At Stanford, Alison plans to focus her doctoral research on the distributional effects of energy policy through both an economic and regulatory lens.

  • Dante Orta Aleman

    Dante Orta Aleman

    Ph.D. Student in Energy Resources Engineering

    Current Research and Scholarly InterestsHis current research focuses in the use of machine-learning models for automatic interpretation of temperature profiles in Oil & Gas wells.