Yang Song

Song has more than two decades of experience in driving AI innovation at Apple and IBM Research and in academia. At Apple, he served as Head of Data Science, Applied Machine Learning, where he transformed the company's enterprise AI vision, unifying fragmented machine learning efforts into scalable solutions that delivered billions of dollars in value across sales, operations, infrastructure and customer service. His work accelerated the adoption of next-generation AI and connected the worlds of science and impact, blending rigor, governance and ethical AI with a rare instinct for what truly moves a business forward.

Song earned his Ph.D. in electrical and computer engineering from the University of Florida. He completed the Stanford University Graduate School of Business (GSB) LEAD Program, a year-long curriculum that develops effective leaders with an innovation mindset who demonstrate a deep understanding of key business fundamentals. He currently serves on the Technical Program Committee for the Association for Computing Machinery's (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) and the annual KDD conferences.