演講公告
日期：113 年12 月10 日(二)上午11:00 – 12:00
地點：電機二館106教室
Title：How do Humans and AI Learn from Each Other and Collaborate to Transform Cancer Care?
Abstract：The future of healthcare depends on humans and AI systems working together and learning from each other to achieve the best possible outcomes. These AI systems, trained by human experts, go beyond automation to actively drive workflows, surpassing human capabilities in tasks like diagnosing diseases and improving treatment planning. At the same time, they can uncover new scientific insights that help doctors make better decisions. By collaborating with these AI systems, healthcare professionals not only guide AI learning but also gain valuable knowledge from its discoveries. This dynamic, two-way partnership has the power to transform healthcare, delivering the best possible outcomes.
Speaker：Cameron Po-Hsuan Chen
Bio: Cameron is the Head of AI and Data Science at Need. Need is an early-stage startup building the world’s first cancer protection system, enabling anyone, anywhere to achieve the best cancer outcome. Before Need, Cameron was a staff software engineer and a tech lead manager of Google Research/Google Health/Google Brain. His research has been published in leading scientific, clinical, and machine learning venues, including Nature, JAMA, and NeurIPS, and covered by media outlets such as the New York Times, Forbes, and Engadget. He received his PhD in Machine Learning and Computational Neuroscience from Princeton University and his BS in Electrical Engineering from National Taiwan University. Cameron was also a recipient of the Google PhD Fellowship.
