Xinwen Zhang
Xinwen Zhang is a PhD student at the School of Earth and Space Sciences, Peking University. Her research focuses on the integration of data science and paleoclimatology. Using Earth system modeling and data assimilation methods, she investigates mechanisms of marine dissolved oxygen variation and climate responses during Cenozoic extreme climate events, especially the Paleocene-Eocene Thermal Maximum. Her work is dedicated to spatiotemporal data assimilation and uncertainty analysis in complex Earth systems.
Research Keywords
Paleoclimate data assimilation; Earth system model; proxy system model; Cenozoic climate change.
Education
- 2025.09 - Present, PhD in Paleontology and Stratigraphy, School of Earth and Space Sciences, Peking University.
- 2021.09 - 2025.06, BSc in Geochemistry, School of Earth and Space Sciences, Peking University.
Research Interests
- Data assimilation of marine deoxygenation during the Paleocene-Eocene Thermal Maximum.
- Proxy system modeling for seawater dissolved oxygen based on Bayesian inference.
- Causal inference in paleoclimate time series.