Reading is often described as a fundamental skill, yet from a neuroscientific perspective, it is anything but fundamental. It is a constructed ability—one that requires the brain to reorganize itself in ways that evolution did not explicitly design. This paradox has long been at the center of my research: how does the human brain, without a dedicated evolutionary pathway for reading, develop such a precise and efficient system for decoding written language?
Over the past decade, my work has focused on mapping the neural architecture that supports reading acquisition. Through longitudinal neuroimaging studies, we have observed how distributed brain networks—spanning visual processing regions, language centers, and associative pathways—gradually synchronize to enable fluent reading. These networks are not static; they are shaped by experience, instruction, and environmental exposure.
One of the most important findings from this body of work is the degree of variability inherent in neural development. No two brains follow identical trajectories. This variability is particularly evident in individuals with dyslexia, where differences in white matter organization and connectivity patterns influence how reading skills are acquired.
Rather than interpreting these differences through a deficit-based framework, neuroscience invites a more nuanced understanding. These are not failures of the system—they are alternative configurations of it. This shift in perspective has profound implications, not only for science but for education systems that have historically relied on standardized models of instruction.
The recognition of this work by the National Academy of Sciences through the Troland Research Award is both an honor and a responsibility. It underscores the importance of continuing to refine our understanding of the brain while ensuring that these insights are translated into meaningful applications.
Ultimately, the goal is not simply to understand how the brain reads, but to use that understanding to build systems that support every learner. The future of education will depend on how effectively we align it with the realities of brain development.