معرفی
Kun Zhang is a Professor at Carnegie Mellon University's Department of Philosophy and an affiliate faculty member in the Machine Learning Department. His research bridges causal discovery, machine learning, and philosophical foundations of AI, with applications in neuroscience, computational finance, and climate analysis.
His work focuses on:
- Automated causal discovery from heterogeneous data
- Causality-based learning for transfer and deep learning
- Philosophical principles of causation and machine learning
Recent research trends emphasize causal representation learning, nonparametric modeling, and real-world applications across biomedical, financial, and Earth sciences. He leads the Causal Learning and Reasoning (CLeaR) group at CMU and collaborates with the Center for Integrative AI (CIAI) at MBZUAI.
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