Sharon Zhou

CEO & Co-Founder of Lamini

  • What Makes a custom LLM Model Last?

    The Future of Large Language Models

    What We Can Learn From The Classics - And How it Relates to AI

  • $20k to $50k plus travel

  • California, United States

Sharon Zhou is a visionary in the realm of generative AI, devoted to making this complex technology universally accessible and user-friendly. With a remarkable background as a faculty member at Stanford University in computer science, Sharon led a team of over 50 Ph.D. and undergraduate students, contributing groundbreaking research to top AI conferences globally. Her passion for education is evident in creating one of Coursera's largest classes, "Generative Adversarial Networks," teaching over 250,000 students and making significant strides in democratizing generative AI.

Her academic journey in AI is marked by a Ph.D. from Stanford, mentored by Dr. Andrew Ng. Sharon’s work has not only earned her a place in MIT Technology Review's 35 Under 35 but also established her as a key AI advisor to policymakers in Washington, D.C. Prior to her academic achievements, Sharon had a notable stint as a product manager at Google and holds the unique distinction of being the first to major in Classics and Computer Science at Harvard University.

Sharon’s entrepreneurial spirit led her to co-found Lamini, an LLM startup based on her PhD thesis, aiming to bring innovative advancements in generative AI to the forefront of technology. Her dedication to her field extends beyond her startup, as she actively engages in angel investing, supporting emerging talents in the tech industry.

With a life mission deeply rooted in creating enduring and impactful technologies, akin to the lasting influence of the Classics, Sharon Zhou stands out as a formidable figure, shaping the future of AI with her contributions that promise to redefine how we interact with and perceive technology.

More on Sharon Zhou

Sharon’s previous speaking experience.

Sharon, a distinguished authority on generative AI, is celebrated for her captivating presentations at prestigious forums and institutions. As a former faculty member at Stanford University in computer science, she imparts profound knowledge on generative AI technologies at major conferences and events, including the McKinsey Tech Summit and sessions for key AI policymakers in Washington, D.C. Renowned for her ability to make complex technology accessible, Sharon's talks provide practical insights for harnessing the power of AI in various domains. Her dynamic presentations, such as her keynote at the MIT Technology Review's 35 Under 35, showcase her expertise in innovation and education, appealing to a wide range of audiences in tech, academia, and policy-making sectors.

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