I'm a psychology student with a deep interest in how the mind computes — attention, inhibition, working memory, and the motor signatures that betray cognitive load. I approach these questions not just theoretically, but by building the experiments myself.

My work lives at the crossroads of cognitive psychology, computational neuroscience, and software engineering. I believe that the most interesting insights emerge when you control the full stack — from experimental design down to the millisecond precision of the code.

Currently focused on → measuring cognition through movement, using Fitts's Law paradigms and motor variability metrics as proxies for mental state.

Attention & inhibitory control    →  What limits our ability to filter the world?
Working memory                    →  How does the brain hold and manipulate information?
Motor cognition                   →  What does movement reveal about mental load?
Computational modeling            →  Can we formalize cognition in code?

Languages — Python · JavaScript · TypeScript · R
Frameworks — React · Vite · Tailwind CSS
Methods — Experimental paradigm design · EMA · Behavioral data analysis · Signal processing
Interests — Cognitive neuroscience · Neuropsychology · Human-computer interaction

I'm building toward a master's in cognitive neuroscience / neuropsychology, with the ambition of doing research that bridges rigorous experimental methods with modern computational tools. I want to design paradigms that are not just valid — but actually deployable, scalable, and open.

If you're working on cognition, attention, or brain-behavior relationships — I'd love to connect.

📩 anymaa@icloud.com