Stanford University
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Chao Yin
Postdoctoral Scholar, Physics
BioChao Yin is a Q-FARM Bloch Fellow at Stanford University. He earned his B.Sc. in Physics from Peking University (2016–2020), and completed his Ph.D. in Physics at University of Colorado Boulder (2020–2025) under the supervision of Prof. Andrew Lucas. His research interests include quantum information, condensed matter theory, and mathematical physics.
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David Zhen Yin
Senior Research Scientist - Physical
BioDavid Zhen Yin is the co-founder and program director of Stanford Mineral-X, a research innovation hub on creating resilient mineral supply chains for energy transitions. He is also the principal scientist at Stanford Center for Earth Resources Forecasting. Since 2024, David has been serving on the US National Academies Committee on optimizing the USGS Mineral Resources Program.
David develops data-scientific approaches for prediction, uncertainty quantification, and decision-making in critical earth resources exploration and development. He has broad experience with complex projects involving academia and industry and has broad knowledge of the fields. His research delivered several key technologies transferred as in-house technologies in Chevron, Equinor, and KoBold. Over the past decade, his research developments have been implemented on various subjects, from Antarctica bed topography modeling, North Sea and Gulf of Mexico energy projects, and numerous critical mineral exploration projects across five continents.
Before joining Stanford, David was a Research Associate at the Edinburgh Time-Lapse Project in Scotland, leading a geophysical monitoring research project in collaboration with Equinor from 2016 to 2018. He was also a technology consultant at Equinor's Research Center in Bergen, Norway. Then, he was a Chevron CoRE Postdoctoral Fellow at Stanford from 2018 to 2021. He was the Co-PI of the Stanford-KoBold collaboration from 2020 to 2022 which led to a $192.5 million Series B fundraising.
David received his Ph.D. in Geosciences from Heriot-Watt University, Edinburgh, UK, in 2016. His research interests include data science for geosciences, geological uncertainty quantification, and decision-making under uncertainty. He has authored one book and tens of articles in peer-reviewed journals and international conferences.
