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K. Michael Martini is a TMLS Postdoctoral Fellow in the Department of Physics at Emory University, affiliated with the Initiative in Theory and Modeling of Living Systems. His research specializations include dimensionality reduction, information theory, machine learning, and the physics of living systems. He has co-authored peer-reviewed publications such as "Maximum likelihood estimators for colony-forming units" in 2024 and "Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses" in 2025.
Emory University physicists introduce the AI Periodic Table Framework, a Variational Multivariate Information Bottleneck that unifies multimodal AI methods for efficient, interpretable systems. Explore implications for research and careers.
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