Summary
Ran Emuna is a multidisciplinary healthcare professional and data scientist based in Tel Aviv, combining nine years of hands-on critical care experience as a registered ICU and organ transplantation nurse with formal public health training (MPH). As a freelance practitioner and researcher, Ran blends clinical insight with machine learning skills—particularly in signal processing, reinforcement learning, and explainable AI—to tackle healthcare data problems. This unique mix enables translating complex physiological signals into actionable models while keeping patient safety and interpretability front and center. Ran’s background means they approach ML research with a clinician’s pragmatism, prioritizing solutions that can integrate into real-world care settings.
9 years of coding experience
Master of Public Health - MPH, Master of Public Health - MPH at Tel Aviv University
Bachelor's degree, Registered Nursing/Registered Nurse, Bachelor's degree, Registered Nursing/Registered Nurse at The Hebrew University of Jerusalem
Hebrew, English