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Alexander Rodríguez is an Assistant Professor in the Department of Computer Science Engineering at the University of Michigan. His research focuses on advancing artificial intelligence methods for modeling complex spatiotemporal dynamics to support trustworthy data-driven decision-making. His work addresses critical issues at the intersection of machine learning, time series analysis, scientific modeling, uncertainty quantification, and multi-agent systems, with primary applications in health sciences engineering. He has been recognized for his contributions to knowledge-guided causal inference and generative models, receiving invitations to present his work at conferences such as AAAI and KDD. In addition, he has been involved in educational initiatives, delivering guest lectures and tutorials on machine learning and public health.
University of Michigan • Ann Arbor, MI
Teaching and conducting research in computer science engineering, focusing on AI and machine learning applications in health.
Department of Electrical Engineering and Computer Science