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Research Interests
I am broadly interested in the discovering the mechanisms underlying a complex system. These systems could be physical, such as biological systems, or algorithmic, such as ML models. I like to develop theoretical frameworks and methods to understand these systems and apply them to real-world applications. My current toolbox includes various hammers from Causality, such as Causal Discovery, Causal Representation Learning, and Causal Feature Learning.
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