Postdoctoral Fellow, Santa Fe Institute
About
I am an Omidyar Fellow at the Santa Fe Institute. Before that, I was a Schmidt Science Fellow at Cornell working with Steven Strogatz. I got my Ph.D. in Physics from Northwestern in 2020, advised by Adilson Motter. You can reach me at yzhang@santafe.edu.
My research focuses on developing mathematical and computational tools for the study of complex systems, especially using techniques from dynamical systems, network theory, data science, and machine learning. I apply these tools to understand the behavior of complex systems that are often nonlinear and high-dimensional, which includes questions in mathematical biology (how do circadian clocks re-synchronize as we recover from jet lag?), neuroscience (how important are nonpairwise interactions in shaping macroscopic brain dynamics?), data-driven modeling (when can digital twins generalize to previously unseen conditions?), and scientific machine learning (is zero-shot forecasting of chaotic systems possible?). Some topics I worked on recently include high-dimensional basins in multistable systems, dynamics and inference on higher-order networks, and out-of-distribution generalization in neural networks.
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Network Dynamics
synchronization, chimeras, and more
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Higher-Order Interactions
collective dynamics on hypergraphs and simplicial complexes
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Basins of Attraction
fractals and tentacles
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Scientific Machine Learning
AI for Science and Science for AI
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Photos!
because why not