The Team
Yael Bensoussan M.D. and MSc FRCSC
Assistant Professor, Department of Otolaryngology - HNS Director, USF Health Voice Center
Dr. Bensoussan is currently the director of the USF Health Voice Center. She is passionate about voice and technology and completed her Masters degree in System Leadership and Innovations at the University of Toronto with a focus in AI and laryngology. She strongly believes that collaborations and partnerships are indispensable for successful implementation of innovation.
Anais Rameau, MD MPhil, MSc
Assistant Professor of Laryngology, Weil Cornell Medical Center, New York
Dr Rameau is an Assistant Professor of Laryngology at Weill Cornell Medical Center. She has developed an expertise in integration of innovation in laryngology and has led NHI funded research to integrate Artificial Intelligence to help diagnose aspiration in patients with dysphagia. She is a prolific and innovative researcher who is pushing the boundaries of our field to integrate technology.
Dr. Michael Johns III, MD
Professor of Laryngology, USC Voice Center, University of Southern California, Los Angeles
Dr. Johns is a Professor of Laryngology at the USC Voice Center. He is well known for his leadership role in our field and has led many collaborative initiatives with the Fall Voice Community of laryngologists and speech pathologists. He is an exceptional leader, remarkable communicator and savy clinician and researcher.
Dr. Anthony Law, MD, PhD
Assistant Professor of Laryngology, Emory University, Atlanta
Dr. Law is an Assistant Professor in Laryngology at the Emory Voice Center. With his PhD in Physics background and his coding AI skills, he has developped an expertise in clinical applications of AI in medicine and has developped apps to record vocal tasks to improve remote vocal analysis and diagnosis.
Matthew Crowson, MD, MSc
Assistant Professor, Massachussets Eye and Ear Insitute, Boston
Dr. Crownson is an Assistant Professor in Otology at the Massachussets Eye and Ear Institute. He is a fellowship-trained ear and skull base surgeon with a strong expertise in applications of AI in otolaryngology. His research program emphasizes the use of advanced data analytics and artificial intelligence techniques to improve the delivery and quality of health care.
Alexander Gelbard, MD, MSc
Professor of Laryngology, Vanderbilt University, Nashville
Dr. Gelbard is a Professor of Laryngology at Vanderbilt University. He is a very accomplished clinician and researcher who is focusing his research career on understanding, diagnosing and treating airway stenosis. He has extensive experience in collaborative research as the the instigator and managing director of the the North American Airway Collaborative (NoAAC), a multi-institutional consortium with 40 participating centers in the United States and Europe that works to exchange information concerning the treatment of adult airway disease.
Jeremy Pinto, MASc
Applied Research Scientist, MILA, Montreal, Canada
Jeremy Pinto is a driven AI engineer and applied research scientist at the Mila Institute for Artificial Intelligence where he is responsible for implementing proof-of-concept based work at the frontier of research for various industrial applications. Jeremy has extensive experience training and deploying scalable deep learning models. He has worked on many successful implementations of deep learning models for novel applications in the past, including but not limited to the audio space.
Maria Powell, M.S.P, PhD
Assistant Professor in Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center
Maria Powell is a trained Speech and Language Pathologist with 9 years of clinical experience evaluating and treating patients with voice and swallowing disorders. She has obtained an impressive track record of NHI funding for various projects studying voice pathology. Dr Powell has an expertise in applied deep learning for laryngology and has led interdisciplinary teams to develop deep learning models for diagnosis of vocal fold pathology.
Jean-Christophe Bélisle-Pipon, PhD
Assistant Professor in Health Ethics, Faculty of Health Sciences, Simon Fraser University
Bioethicist by training, Prof. Bélisle-Pipon works on supporting health technology assessment agencies and health regulators identify, address, and manage the ethical, legal, and social implications (ELSI) arising from the assessment and deployment of artificial intelligence (AI) in the health system. He uses participatory, democratic, and deliberative processes for engaging stakeholders and citizens in the stewardship for the development and implementation of AI solutions within the healthcare system.
Vardit Ravitsky, PhD
Professor, University of Montréal and Senior Lecturer on Global Health and Social Medicine, Part-time, Harvard Medical School
Vardit Ravitsky is Full Professor at the Bioethics Program, School of Public Health, University of Montreal and Senior Lecturer on Global Health and Social Medicine at Harvard Medical School. She is President of the International Association of Bioethics and Director of Ethics and Health at the Center for Research on Ethics. She is a 2020 Trudeau Foundation Fellow and Chair of the Foundation’s COVID-19 Impact Committee, as well as Fellow of the Canadian Academy of Health Sciences and of the Hastings Center. She is member of the Canadian Institutes of Health Research (CIHR) Advisory Board for the Institute of Genetics. She is also member of the National Human Genome Research Institute’s (NHGRI) Genomics & Society Working Group. Her research focuses on the ethics of genomics and reproduction and is funded by Canada’s leading funding agencies. She published over 170 articles and commentaries on bioethical issues.
Ruben Ulloa, BA
Keck School of Medicine, Medical Student
Ruben hails from the southside of Chicago from a medically underserved community. He is a fourth year medical student in Los Angeles applying into the field of otolaryngology. His research interests include working with large data sets to investigate health disparities, and analysis of social media.
Enrique Díaz-Ocampo, MA
Applied Research Scientist, Tecnológico Nacional de México/CENIDET, Cuernavaca, México
Enrique Díaz-Ocampo is a graduate in applied mathematics and Master's student in the field of artificial intelligence at the Tecnológico Nacional de México/CENIDET where he is responsible for developing research in the area of binary gender recognition through acoustic voice analysis.
