Please search for your last name
no photo
no photo
no photo
Dexcom
Health Economics and Outcomes Research, Global Access
no photo
Schneider Children's Medical Center of Israel
Institute for Endocrinology and Diabetes
Revital Nimri is a senior endocrinologist, the Director of the Scientific and Technology Diabetes Service and the Diabetes Technology Center at the Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel.
She has a 20-years track record of expertise in clinical diabetes and in the last decade, she is focusing solely on new and innovative technologies for the treatment of diabetes. Her research interests include basic and clinical research in diabetology with special emphasis on new insulins, insulin pumps, glucose sensors, closed loop systems and decision support algorithms.
She has a key role in the team who developed the MD-Logic – closed-loop system using fuzzy logic technology as well as the MD-Logic advisors as a clinical decision support to physicians and patients to handle their own daily routine and improve the control of their diabetes. She has conducted and led several multi-national multi-center studies focusing on diabetes technology.
She has received academic and professional awards for clinical research and for contribution to the research in diabetes.
no photo
Medical University of Bialystok
Department of Pediatrics, Endocrinology, Diabetology with Cardiology Division
no photo
no photo
Glooko VP
Global Clinical Research Evidence Generation
Ed Nykaza, PhD is Glooko's VP of Global Clinical Research & Evidence Generation. He is passionate about using data and science to improve the quality of people’s lives. In 2009, his daughter was diagnosed with T1D, which led to a pivot in his career from acoustics to diabetes.
Dr. Nykaza’s role at Glooko is leading data-driven research. His research spans the full gamut of basic to applied research. He has completed over 100 scientific presentations and 35 publications. His expertise includes Python, statistical learning, diabetes device data, and reproducible research.
In his free time, Dr. Nykaza enjoys hiking with his wife, coding with his son, listening to his daughter sing and trail running.
no photo