Long before a child struggles in a classroom, the brain is already telling a story.

The challenge has never been whether signals exist—it has been whether we can read them.

In my research, we have focused on identifying early neural markers that predict how reading skills will develop. Using longitudinal imaging, we can observe patterns in brain connectivity years before formal education begins to reveal differences in performance.

This changes the timeline of intervention entirely.

Instead of waiting for failure to appear, we can begin to anticipate it—and, more importantly, prevent it. For conditions like dyslexia, this shift is profound. It reframes intervention from a corrective process to a proactive one.

But the implications extend further. Early brain signals offer a blueprint for personalized education—systems that adapt not after outcomes are visible, but as development unfolds.

This is where neuroscience begins to reshape policy. If we can reliably identify risk early, education systems must evolve to respond accordingly.

The Troland Research Award recognizes this trajectory—not just understanding the brain, but using that understanding to change futures.