Eric Jameson Deeds

Eric Jameson Deeds is a Professor in the Department of Integrative Biology and Physiology within the College of Letters and Science at the University of California Los Angeles (UCLA). His research program bridges computational approaches with biological questions, focusing on fundamental principles of cellular organization and information processing.

Deeds' research spans multiple interconnected domains of systems biology and biophysics. He develops computational tools for analyzing single-cell RNA sequencing data, studies the physical principles underlying protein-protein interactions and macromolecular assembly, and investigates information processing in cellular signaling networks. His work consistently combines mathematical modeling with experimental validation to uncover fundamental biological principles, with particular emphasis on how weak interactions govern complex assembly processes and how temporal dynamics encode information in cellular signaling.

Analysis of his recent publications reveals a research trajectory that has evolved from fundamental protein folding and evolution studies to more complex systems-level questions. His current work addresses challenges in single-cell analysis, bacterial proteasome assembly mechanisms, and developmental heterogeneity in model organisms. The interdisciplinary nature of his research is evident in publications spanning computational biology, biophysics, cancer biology, and developmental biology.

• Principal Investigator, "Developing tools for the unbiased analysis and visualization of scRNA-seq data" (NIH R01GM143378, 2021-2025)
• Principal Investigator, "Structural and Dynamical Specificity on Intracellular Signaling Networks" (NIH F32GM080123, 2006-2009)

Deeds is also actively involved in science education innovation, having developed approaches for teaching mathematical modeling to biology undergraduates at UCLA. His educational work demonstrates a commitment to interdisciplinary training that bridges quantitative methods and biological sciences, reflecting his view that modern biology increasingly requires strong quantitative foundations.