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Deep Blue | The Michigan AI Podcast

Deep Blue | The Michigan AI Podcast

By: Michigan AI Lab
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Exploring the Future of AI from Ann Arbor and Beyond. Join us as we delve into cutting-edge research, real-world applications, and inspiring journeys from members of the Michigan AI Lab and the broader University of Michigan community—plus fascinating voices from the wider world of artificial intelligence. Whether you’re an expert or just AI-curious, our conversations will bring you fresh insights and thoughtful discussion straight from the heart of the Michigan AI Lab.

Copyright © 2025 Michigan AI Lab. All rights reserved.
Episodes
  • AI for Uncertainty: Predicting epidemics and disasters with Alex Rodriguez

    AI for Uncertainty: Predicting epidemics and disasters with Alex Rodriguez
    Jan 20 2026

    Today we’re speaking with Professor Alex Rodriguez, an assistant professor of computer science and engineering at the University of Michigan. Prof. Rodriguez’s research sits at the intersection of machine learning, time series analysis, multi-agent systems, and uncertainty quantification, particularly in forecasting complex phenomena such as epidemics and natural disasters. In this episode, we explore how AI can inform decision-making during public health crises, strengthen preparedness for natural disasters, and bridge the gap between data-driven models and real-world policy. Key points include the challenges posed by uncertainty, the need to adapt models to unpredictable situations, and the importance of cross-disciplinary collaboration.

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    41 mins
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