Bouman, Katherine L.

Committee Member — 30 thesises

• Plant, Kathryn Annette — A New Sensor for Milky-Way Particle Accelerators: The Standalone-Radio Cosmic Ray Detector at the Owens Valley Radio Observatory Long Wavelength Array (2024, Dissertation (Ph.D.))
• Chen, Xiaoqiao — Active Acquisition Methods for Single Cell Genomics (2025, Dissertation (Ph.D.))
• Feng, Berthy T. — Advancing Scientific Computational Imaging Through Data-Driven and Physics-Based Priors (2026, Dissertation (Ph.D.))
• Sun, Jennifer Jianing — AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning (2024, Dissertation (Ph.D.))
• Zheng, Hongkai — Algorithms and Representations for Learning and Inference with Diffusion Models (2027, Dissertation (Ph.D.))
• Zhang, Tony (Haoyu) — Biological Intelligence: from Behavior to Learning Theory (2022, Dissertation (Ph.D.))
• Huang, Yuping — Building a Radio Camera in Search of Exoplanet Magnetospheres (2025, Dissertation (Ph.D.))
• Wang, Guanzhi — Building Foundation Agents with Internet Knowledge and Large Language Models (2026, Dissertation (Ph.D.))
• Hu, Peng — Computational Compensation for Model Imperfections in Photoacoustic Computed Tomography (2023, Dissertation (Ph.D.))
• Shen, Cheng — Computational Imaging for Phase Retrieval and Biomedical Applications (2023, Dissertation (Ph.D.))
• Voloshin, Cameron — Guaranteed Policy Performance in Reinforcement Learning (2024, Dissertation (Ph.D.))
• Liang, Mingshu — Harvesting Insights from Advanced Microscope Acquisitions: Techniques and Applications (2025, Dissertation (Ph.D.))
• Yadlapalli Yurk, Nitika — Interferometric Millimeter Observations of the High Energy Universe (2024, Dissertation (Ph.D.))
• Wu, Zihui — Learning to Sample in Computational Imaging: Measurement Acquisition and Posterior Estimation (2026, Dissertation (Ph.D.))
• Liu, Hao — Leveraging Structural Uncertainty for Decision Making: from Classical Methods to Foundation Model Agents (2026, Dissertation (Ph.D.))
• Shila, Kiran Arik — Low Noise at Low Cost for Large Radio Astronomy Arrays (2025, Dissertation (Ph.D.))
• Levine, Matthew Emanuel — Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data (2023, Dissertation (Ph.D.))
• Ogren, Alexander Charles — Machine Learning and Inference Methods for Surrogate Modeling and Inexpensive Characterization of Elastodynamic Systems (2024, Dissertation (Ph.D.))
• Ballew, Conner Kiley — Multifunctional Volumetric Metaoptics (2022, Dissertation (Ph.D.))
• Ryou, Serim — Representation of the Semantic Structures: from Discovery to Applications (2022, Dissertation (Ph.D.))
• Xiao, Liting — Searching for Gravitational Waves from Compact Binary Coalescences and Stochastic Backgrounds in the LIGO–Virgo Detector Network (2023, Dissertation (Ph.D.))
• Zhou, Haowen — Synergizing Microscopy, Computation, and Artificial Intelligence to Advance Biomedical Research (2026, Dissertation (Ph.D.))
• Lee, Zachary Jordan — The Adaptive Charging Network Research Portal: Systems, Tools, and Algorithms (2021, Dissertation (Ph.D.))
• Nelli, Kyle Christopher — Topics in Numerical Relativity: Horizon Finding, Asynchronous Parallelism, and Cross-Code Comparisons of Gravitational Waveforms (2026, Dissertation (Ph.D.))
• Gao, Angela Fang — Uncovering Hidden Structure in Data and the Physical World for Seismic Tomography and Beyond (2026, Dissertation (Ph.D.))
• Huang, Yujia — Understanding and Improving Reliability of Inference Dynamics in Deep Neural Networks (2024, Dissertation (Ph.D.))
• Xin, Yeyuan (Yinzi) — Use of Light Coherence for Exoplanet Detection and Characterization (2025, Dissertation (Ph.D.))
• Ronchi, Matteo Ruggero — Vision for Social Robots: Human Perception and Pose Estimation (2020, Dissertation (Ph.D.))
• Cole, Elijah Henry John — Visual and Spatial Representation Learning with Applications in Ecology (2023, Dissertation (Ph.D.))
• Beery, Sara Meghan — Where the Wild Things Are: Computer Vision for Global-Scale Biodiversity Monitoring (2023, Dissertation (Ph.D.))