Assaf Zohar

Assaf Zohar is an experienced VP of R&D with a background in data analysis, machine learning, and mathematical modeling. With a strong educational foundation in neuroscience, mathematics, and biology, Assaf has worked in various roles developing algorithms for big data environments at companies like SimilarWeb, Optimata, and EverC. Known for their expertise in developing highly-scalable software modules and utilizing mathematical models for personalized cancer medicine, Assaf's work reflects a commitment to innovation and agile development practices.