Trained as an engineer.
Working on the nervous system.

I came to neuroscience through engineering, not the other way around — and that order still shapes how I work. I hold a Bachelor's and Master's in Biomedical Engineering, and I'm now completing a PhD in Neuroscience at Tehran University of Medical Sciences. What I do, at the core, is turn data into meaning: I analyze signal, image, and video — sensor time series, markerless kinematics, medical images, behavioral recordings — across clinical, animal, and computational studies.

My edge is that I also build the instruments behind that data. My undergraduate work was a hands-on rehabilitation device; my Master's was a computational imaging pipeline; my doctorate brought both together into a system where I designed the acquisition hardware and wrote the analysis that turned its raw signals into results. Because I understand the full chain from sensor to signal to result, I trust my data in a way a pure analyst often can't.

Looking ahead, my focus is the computational and clinical side: carrying these analysis methods toward human clinical application — digital biomarkers and open, shareable tools. I care about reproducibility as a practical discipline: code another lab can actually run, and pipelines documented well enough to hand over.