School of Earth, Energy and Environmental Sciences


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  • Hong Yang

    Hong Yang

    Ph.D. Student in Geological Sciences

    BioHong Yang is currently a PhD student in Geological Science working with Wendy L. Mao. He joined Mao’s lab at Stanford University in 2018, after finishing his Master’s Degree at HPSTAR, Shanghai, where he was supervised by Jung-Fu Lin. His Master’s thesis focused on the experimental determination of iron isotopic fractionation behavior of lower mantle phases using the Synchrotron X-ray technique NRIXS. Before that, he was an undergraduate majoring in Geochemistry at the University of Science and Technology of China. There he performed the quality assessment of bottled drinking water and water from Lake Chao under Fang Huang’s supervision.

    Hong’s research interests include the chemical (especially isotopic) evolution of the Earth and other planetary bodies; structure and sound velocities of iron-alloys at high pressure; pressure-induced electronic, magnetic, elastic and structural transitions in materials; as well as high pressure photon science. His recent research was published on Earth Planet. Sci. Lett. 506, 113-122 (2019), entitled “Iron isotopic fractionation in mineral phases from Earth’s lower mantle: Did terrestrial magma ocean crystallization fractionate iron isotopes?”.

  • Liang Yang

    Liang Yang

    Ph.D. Student in Geological Sciences

    Current Research and Scholarly InterestsGeostatistics; Computer graphics/vision; Machine Learning

  • David Zhen Yin

    David Zhen Yin

    Postdoctoral Research Fellow, Geological Sciences

    BioDavid Zhen Yin is the Postdoctoral Researcher working on Stanford-Chevron CoRE Project at SCERF (Stanford Center for Earth Resources Forecasting). He develops Bayesian Evidential Learning for predictions and uncertainty quantification of oil/gas reservoirs.

    Prior to joining SCERF, David was a Research Associate at Edinburgh Time-Lapse Project at Heriot-Watt Institute of Petroleum Engineering in Scotland, leading a research project in collaboration with Statoil from 2016 to 2018. He developed the “WELL2SEIS” technique that efficiently integrate 4D seismic with reservoir engineering data to improve reservoir models. This technique has been applied to seven North Sea projects, and has become Statoil’s standard in-house technology. During this period, he was also a Reservoir Technology Consultant at Statoil Research Center in Bergen, Norway. David developed broad experience in working with complex projects involving the industry as well as broad knowledge about the fields.

    David obtained his PhD in Reservoir Geophysics from Heriot-Watt University, UK, in 2016, and B.Eng (Petroleum Engineering) from China University of Petroleum in 2011. His research interests include Bayesian Evidential Learning, reservoir modelling and updating, uncertainty quantification, time-lapse reservoir monitoring. David has authored more than 10 publications in peer-reviewed journals and international conferences. He was awarded the SEG Frans and Alice Hammons Award in 2014.