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Dissertations from 2025

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Paradigms of Scientific Machine Learning: From Model-Based Inference in NMR Spectroscopy to Predictive Automation in Agricultural Robotics, Kelechi Akwataghibe

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Quantum Framework for Topological Data Analysis, Bernardo Ameneyro

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Efficient Neural Representations in Spatial Navigation and Pharmacokinetic Imaging: Information-Theoretic and Machine Learning Approaches, Jared Deighton

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Modeling the Opioid Epidemic in Vulnerable Subpopulations and a Multiscale Mixed Modeling Approach to Parasitoid Wasp Dispersal with Host Interaction, Kimberlyn Eversman

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Numerical Methods for Multi-Species Kinetic Models with Approximate Collision Operators, Evan Habbershaw

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Geometric rectifiability in metric measure spaces, Jacob G. Honeycutt

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Mathematical Modeling and Numerical Approximations for Intravascular Drug Release from Arterial Stents and Transport in Arterial Tissues, Tingao Jiang

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Monte Carlo and Markov Chain Monte Carlo Methods for Identifiability and Data Analysis of Dynamical Systems in Biology, Chiara Mattamira

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Hamiltonian Monte Carlo Methods for Statistical Learning and Applications, Daniel McBride

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Statistical Learning for Polymer Chemistry and Microbiology Modeling, Stephen McCoy

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Modeling Host-Pathogen Systems with Differential Equations and Integral Projection Models, Jordan Pellett

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Filtered Angular Discretizations in Radiation Transport, Benjamin R. Plumridge

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Parametrizability and small-scale geometry of certain connected fractals, Eve Shaw