My research activities include investigating speech-based clinical health applications related to illness and voice disorder screening/monitoring, especially using everyday remote smart device AI technology. My work also includes development of new experimental speech-based protocols to help isolate important acoustic, linguistic, and affective feature information which can be used to detect specific illness (e.g., mental health, neurological, respiratory, voice disorders). I am active in helping collect large clinically validated human study speech datasets, which include audio, nasometer, and aero-dynamic pressure recordings. In addition, I provide expertise in audio voice forensics using both traditional manual listening and modern state-of-the-art automated AI approaches.

Previously, I worked in the specialised field of audio speech forensics as a defense contractor, where I investigated a wide range of 'real world' speech-signal issues using automated AI techniques. I have 3 years experience also working as a speech language therapist in school setting (K-12).