My Path: From Sound waves to Brain Waves

My career has been driven by a single, fascinating question: How do we find meaningful signals in a world saturated with noise and complexity?
This journey began not with images, but with sound. For my Master’s thesis, I developed noise-reduction and dereverbration algorithms for hearing aids—a direct, tangible application of separating a clear voice from a cluttered background. This experience cemented my passion for decoding complex data.
I then turned to the ultimate source of signal and noise: the human brain. As a Ph.D. Research Scientist, my primary work involves decoding thousands of multi-dimensional MRI scans to find bio-signatures for conditions like chronic pain and Long COVID. With datasets often containing over 100,000 features, my role is to identify the crucial patterns that can predict patient outcomes.
My curiosity extends across multiple domains of cognition. I’ve analyzed eye-tracking data to understand anticipatory responses in anorexia nervosa or even how native readers perceive punctuation in literature. Whether it’s audio signals, brain scans, or eye movements, the core challenge remains the same.
I started AskTheBrainScientist to bring this “signal from noise” methodology out of the lab. Systematic thinking, automation techniques, and rigorous hypothesis-testing that I use every single day are the exact skills needed to build clarity and strategic influence in any career.