张锴，亚马逊应用科学家，现从事大模型训练及应用研究工作。2003-2007年中国科学技术大学物理系本科；2007-2012年中国科学技术大学天文系博士；2012-2014中科院上海天文台博后；2014-2017 美国肯塔基大学博士后；2017-2021 美国劳伦斯伯克利国家实验室项目科学家。深度参与SDSS，MaNGA，DESI等大规模巡天项目。2021-2022 滴滴打车美国研究院安全部门自身数据科学家；2022-至今在亚马逊进行人工智能方面的研究和应用工作。Dr. Kai Zhang will share his journey across three interconnected domains: astrophysics, customer-focused AI, and the rise of AI-augmented research. With experience spanning large-scale sky surveys (SDSS, MaNGA, DESI) and industrial roles at Didi and Amazon, Dr. Zhang offers a unique perspective on applying an “AI mindset” across disciplines.Topics include:Astrophysics: How regression and classification techniques are used in astronomy to solve problems such as redshift estimation and galaxy classification—offering a natural foundation for machine learning thinking.Customers: How ML and foundation models are applied in recommendation systems and user behavior prediction, with insights into handling bias, evaluation, and real-world constraints.10X Researcher: How AI agents like LLMs can assist with literature review, coding, modeling, and writing—empowering researchers to dramatically increase their speed and effectiveness.