Van Valen, David A.

Committee Member — 18 thesises

• Schwartz, Morgan Sarah — Accelerating Biological Discovery with Deep Learning and Spatial Optical Barcodes (2024, Dissertation (Ph.D.))
• Chuapoco, Miguel Roberto Estella — Adeno-Associated Viral Vectors for Gene Delivery to the Non-Human Primate Brain (2023, Dissertation (Ph.D.))
• Lin, Li-En — Advancing Stimulated Raman Scattering Microscopy through Deep Learning and Gel-Based Tissue Engineering (2025, Dissertation (Ph.D.))
• Luebbert, Laura — Complexity of Transcriptomic Data Analysis and Implications for Biological Discovery (2024, Dissertation (Ph.D.))
• Moses, Lambda — Computation Foundations of Spatial Transcriptomics (2023, Dissertation (Ph.D.))
• Laubscher, Emily Chiu — Deep Learning-Enabled Integrated Measurements of Immune Signaling in Primary Human Macrophages (2024, Dissertation (Ph.D.))
• Amaya Perez, Enrique — Designing Intelligent Agents for Real-Time Experimental Control and Multi-Task Generalization (2026, Dissertation (Ph.D.))
• Goertsen, David Gerald — Expanding Adeno-Associated Viral Capsid Engineering to Multiple Variable Regions for Diversified Tropism (2023, Dissertation (Ph.D.))
• Banks, Rachel A. — Experimental and Theoretical Studies of Non-Equilibrium Systems: Motor-Microtubule Assemblies and the Human-Earth System (2022, Dissertation (Ph.D.))
• Yang, Yujing — Exploring Cell Diversity in Complex Tissues through Spatial Genomics and Spatial Transcriptomics (2025, Dissertation (Ph.D.))
• Li, Qilin — From Cells to Functional Tissue Units: Scale-Aware Deep Learning for Biological Microscopy Segmentation (2026, Dissertation (Ph.D.))
• Aceves, Aiden Joseph — Machine Learning and Modeling Methods for Protein Engineering (2022, Dissertation (Ph.D.))
• Belliveau, Nathan Maurice — Quantitative Dissection of the Allosteric and Sequence-Dependent Regulatory Genome in E. coli (2018, Dissertation (Ph.D.))
• Morrison, Muir — Statistical Mechanics of Problems in Transcription Regulation (2021, Dissertation (Ph.D.))
• da Veiga Beltrame, Eduardo — Stories in Single Cell RNA Sequencing (2022, Dissertation (Ph.D.))
• Galstyan, Vahe — Studies in Physical Biology: Exploring Allosteric Regulation, Enzymatic Error Correction, and Cytoskeletal Self-Organization Using Theory and Modeling (2022, Dissertation (Ph.D.))
• Yu, Changhua — Understanding Kinase-Substrate Interaction with Deep Learning and High-Throughput Scanning (2026, Dissertation (Ph.D.))
• White, Jonathan Alexander — Untangling Overlapping Barcodes in Image-Based Spatial Genomics (2026, Dissertation (Ph.D.))