Juan is a PhD student in Computer Science at Columbia University, working with Elias Bareinboim on Causal Inference.
Juan’s research is concerned with the identification of causal and probabilistic quantities from a combination of observational and experimental probability distributions, plagued with selection bias and originating from multiple environments (external validity), different from the actual target domain.
Juan earned an MSc in computer science from Purdue University and a BSc at Universidad Autonoma de Manizales in Colombia. His work has been published and presented in venues such as AAAI, UAI, ICML and IJCAI.
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