Hearing Data Science
A SaaS that helps hearing care professionals pilot their practice through data-driven clinical indicators.
Hearing Data Scientist · PhD in Auditory Neuroscience
I'm a former audiologist who moved into data science to turn clinical complexity into actionable intelligence. After more than a decade working with hearing-impaired patients and leading quantitative research, I founded Hearing Data Science in 2025 to help audiology organizations improve patient care through advanced analytics, machine learning, and AI-driven decision support.
Data science and web projects
A SaaS that helps hearing care professionals pilot their practice through data-driven clinical indicators.
An open platform for audiology students — curated resources, final-year project library, interactive learning workflows.
Digital companion to MEMAU: fill in audiological questionnaires and get scores instantly through custom JavaScript modules.
Brain-image analysis of unilateral hearing loss patients. Timeseries extraction, preprocessing, correlation with behavioral performance.
Regression analysis modelling and predicting speech-in-noise performance in patients with unilateral hearing loss.
Webmaster for an NGO delivering hearing devices to deaf children during missions in Cambodia. Site supports recruitment and fundraising.