Mette Pedersen has had an Ear, Nose, and Throat clinic at The Medical Center Østergade 18 in Copenhagen and is now a consultant there. She serves as a Danish Representative in the Union of European Phoniatricians (UEP). Additionally, she is a member of the Committee of Voice Biomarkers and is a senior researcher working on many projects, including optical coherence tomography, among others, in collaboration with the Department of Electrical and Photonics Engineering at the Danish Technical University, Lyngby, Denmark.
Valentina Camesasca is an Ear, Nose, and Throat and Head & Neck Surgeon specialist and a higher educated Phoniatrician with extensive training in voice and swallowing. She is a member of the UEP Committee of Voice Biomarkers and works at Great Metropolitan Niguarda Hospital and NEMO (NeuroMuscolar) Clinical Center in Milan. She has participated in and presented papers at many national and international conferences, with her research including topics such as endoscopies.
Neveen Hassan Nashaat works as a professor of phoniatrics, communication and audiology. She is an educated Ear, Nose, and Throat specialist and phoniatrician with extensive training in voice and swallowing from faculty of medicine Ain Shams University in Cairo. She is a member of the UEP Committee of Voice Biomarkers.
Ramón Hernández-Villoria is a Medical Doctor, Phoniatrician specialist, Public Health specialist and M.Sc. in Linguistics. He is a Committee of Voice Biomarkers member and works at Centro Clínico de Audición y Lenguaje in Caracas, Venezuela. He is the Union of European Phoniatricians' national representative in his country. He has been a full professor and visiting professor at various universities in undergraduate and graduate studies in phoniatrics, speech therapy, and occupational medicine for twenty-five years. He has published research in applied phonetics and occupational voice and presented at international conferences.
Sneha Das (DSc.) is an assistant professor at the Technical University of Denmark, specializing in speech and voice technology. Her work focuses on the intersection of voice analysis, machine learning, and biomedical applications. She holds a PhD in speech and language technology and has contributed to several international projects on health-related speech processing and AI. Sneha&s research emphasizes on the safe application of AI in healthcare and critical infrastructure, and low-resource machine learning for healthcare.