Daniel Yellin

Daniel Yellin, Ph.D., is a seasoned expert in machine learning, artificial intelligence, and data science with a robust background in leadership roles across various companies. Currently leading the ML, AI, and Data Science group at Qualcomm, Daniel’s responsibilities include overseeing Edgewize's AI/ML initiatives. As the NLP/LLM leader at Aurora Labs, Daniel focuses on advancing natural language processing and developing cutting-edge LLM models for coding. In addition, Daniel manages the ML/AI, data science, and agronomy department at CropX Technologies, employing deep learning architectures and classical models for diverse analytical challenges. Previous positions include leadership roles at Cellwize, Scalez, Tensera Networks, and Marvell, contributing to significant advancements in ML/AI technologies and applications. Daniel holds a Ph.D. in Electrical and Electronics Engineering from Tel Aviv University and multiple degrees from the Technion - Israel Institute of Technology.