About me
I’m a speech-language pathologist, researcher, educator, and founder of All-Voiced — a human-centered perceptual infrastructure for voice science, training, research, and AI-related ecosystems.
My work focuses on auditory-perceptual voice evaluation, evaluator calibration, structured perceptual data, and the development of scalable infrastructures capable of connecting human expertise with research, education, and emerging voice technologies.
Over time, my research interests have progressively evolved from perceptual voice assessment itself toward broader questions about infrastructure, interoperability, coordination, and how listening can become a cumulative scientific activity.
Through All-Voiced, I explore how structured listening environments, distributed evaluator ecosystems, and reusable perceptual workflows can support perceptual training and benchmarking, multicenter research, cross-cultural harmonization, and human-centered AI validation systems.
My background combines clinical voice, higher education, research methodology, and independent technological development.
Beyond science and technology, my relationship with voice and listening is also deeply shaped by artistic practice — from early music performance to free vocal improvisation — experiences that continue to influence how I think about perception, variability, human expression, and knowledge itself.
Let’s connect if you’re working at the intersection of voice, listening, research, and innovation — or if you’re curious about how human expertise, when connected through the right infrastructures, can generate knowledge that no individual listener could create alone.