Yehonathan Refael is a data scientist and engineer with a strong background in deep learning, computer vision, and operations research. At Microsoft, contributions include developing deep-learning quantization methods, focusing on AI model security, and presence sensing for low-edge devices, resulting in six patents. Previous roles include software developer at the Israeli Air Force, where Yehonathan utilized Java, C++, and various frameworks, and data scientist at Israel Defense Forces - Military Intelligence, emphasizing computer vision and machine learning techniques. As an algorithms engineer at Samsung Electronics, work involved anomaly motion detection and real-time depth estimation. Currently, Yehonathan is a research intern at Google while pursuing a PhD in Electrical Engineering from Tel Aviv University. Academic qualifications include a Bachelor's in Electrical Engineering from Technion and a Master's Degree in Mathematics and Statistics from Tel Aviv University.
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