Zhang Jiang
Ph.D. Student in Applied Mathematics
I am a second-year Ph.D. student in applied mathematics at the University of Wisconsin–Madison, where I am a research assistant advised by Professor Nan Chen. I received my bachelor's degree in mathematics from Sun Yat-sen University and my master's degree in mathematics from the University of Wisconsin–Madison.
My current research uses data assimilation and machine learning to test whether Earth system models capture the correct physical mechanisms, with applications to the El Niño–Southern Oscillation (ENSO) and sea ice.
You can find me via my email: zjiang368@wisc.edu.
Research Interests
Data assimilation; scientific machine learning; mechanistic evaluation and intercomparison of Earth system models; causal inference; uncertainty quantification; partially observed and nonlinear dynamical systems; El Niño–Southern Oscillation (ENSO) and sea ice.
Publications
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A Continuous-Time Ensemble Kalman–Bucy Smoother for Causal Inference and Model Discovery
Zhang Jiang, Marios Andreou, Sebastian Reich, and Nan Chen.
arXiv -
Causal Fingerprints Reveal Hidden Mechanisms in Partially Observed Dynamical Systems
Zhang Jiang, Marios Andreou, and Nan Chen.
Presentations
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Hackathon
Towards Explaining Predictions of Chicago Temperatures Using Models Fancy and Simple
Zhang Jiang, Jonathan Lee, Katy Rucker, and Samuel Smith.
- Minisymposium Ensemble Kalman–Bucy Smoother: Advancing Causal Inference and Model Discovery
- Poster Ensemble Kalman–Bucy Smoother: Advancing Causal Inference and Model Discovery
Teaching
- Math 234: Calculus III
Academic Service
- Reviewer, Nonlinear Dynamics