Tamar Gershoni

Tamar Gershoni is a clinical data analyst and statistician with a strong background in the medical field, previously working as a registered nurse and gaining expertise in clinical research methodologies. She holds a Master’s degree in Nursing, with a thesis, and a Bachelor’s degree in Statistics from the University of Haifa. Tamar has co-authored three peer-reviewed articles, serving as the first author on two of them. Currently, she works as a clinical data analyst in the biostatistics department of a medical device company. She has extensive experience applying statistical models to identify patterns, relationships, and trends, providing insights for decision-making. Her current research focuses on the “Development of a Physics-Guided Machine Learning Model for Optimizing Ultrafiltration Rates in Hemodialysis Patients.”