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., GAN and variational auto encoders), generative models for structured data (e.g., Bayesian networks), Blockchain-based decentralized trust computing, software engineering/model driven design and
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to academic leadership. Renowned for his work in Big Data and healthcare innovation, Dr. Madigan has authored over 200 publications covering topics such as Bayesian statistics, text mining, and probabilistic
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in case control studies, etc.); identify the strengths and limitations of different approaches to research questions; deepen their understanding of causal inference; and recognize the provisional
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