Sharon Zhou

haron Zhou is a highly accomplished PhD candidate in Computer Science at Stanford University, where she is advised by the renowned AI expert Andrew Ng. Her academic work and research span the theoretical and applied aspects of Artificial Intelligence (AI), with a focus on Generative Adversarial Networks (GANs), machine learning, and applications that drive social good, including medicine and climate science. Sharon has a passion for bridging the gap between cutting-edge AI technology and its real-world applications for human welfare.Before embarking on her PhD journey, Sharon built a strong foundation in machine learning product management, having worked at Google and various startups. Her experience at Google honed her ability to apply machine learning and AI to create impactful products and solutions for large-scale audiences. Sharon's diverse academic background includes a degree in Computer Science and Classics from Harvard University, giving her a unique interdisciplinary perspective on AI and technology.Sharon’s approach to AI is deeply human-centered, with a clear passion for using technology to address pressing global challenges. While she is enthusiastic about the power and potential of AI, particularly Generative Adversarial Networks (GANs), she values the importance of human understanding and context in the development and deployment of AI systems.