fMRI · Naturalistic Speech · Computational Models · Auditory Neuroscience
Examining neural mechanisms behind cognitive processes, with a focus on naturalistic stimuli related to hearing and speech.
Utilizing computational methods to model auditory and speech processing in the brain — bridging signal processing and neuroscience.
Employing fMRI techniques to investigate the neural basis of auditory and speech functions, with clinical applications in mind.
Studying how auditory cortex subdivisions and the Multiple Demand Network reconfigure dynamically during challenging listening conditions.
Software built to move research forward — and studies that use it to map how the brain hears.
A modular audio signal processing toolkit for speech-in-noise research. Triton standardizes stimuli preparation and signal degradation with a project-centric workflow — import, normalize, label, pipeline, and generate babble noise, all reproducibly.
Features: SNR-based noise mixing, spectrogram viewer, pipeline matrix sweeps, CLI + Streamlit GUI, sidecar provenance.
Using fMRI with naturalistic speech stories at varying SNRs to map how auditory cortex and the Multiple Demand Network reconfigure under degraded listening conditions.
The right insula emerges as a key hub — bridging auditory and cognitive systems when speech becomes hard to follow.
Hobby builds, photography, and whatever else keeps the hands busy outside research hours.
Comprehensive keyboard shortcut reference for tmux — sessions, windows, panes, copy mode, and power tips. Printable A4 layout.
View →A daily journaling app that transforms your writing into verse styled after Ferdowsi's Shahnameh — built with Google AI Studio.
View →Photos will go here.