CPIC 2026 | Future-Driven Intelligent R&D–AI for Life Sciences and Drug Discovery Session Agenda Released
May 27,2026
AI for Science is reshaping the fundamental logic of drug discovery. From antibody design to wet-lab validation, from algorithm-driven approaches to data-driven closed loops, AI is no longer merely an add-on tool but a core factor determining R&D efficiency and success.
The full agenda of the Future-Driven Intelligent R&D–AI for Life Sciences and Drug Discovery Session, co-organized by MegaRobo, is officially released today.
This session brings together pioneering practitioners in AI-driven pharmaceutical R&D to conduct in-depth discussions on key topics including generative large models empowering antibody design, wet-lab data closed loops, growth paths for AI-native biotechs, and organizational paradigm shifts of AI for Science.
No empty theories, only real-world practices.
Join AI-pharma trailblazers at the National Exhibition and Convention Center (Shanghai), July 22–24, to explore the new algorithm-driven paradigm of drug discovery.
Special Session Agenda
Co-organizer: MegaRobo
Session Curators
Yan Zhang, Co-founder & Senior Vice President, MegaRobo
Xuan Xian, CIO & Director of AI Drug Research Institute, GeneScience Pharmaceutical
Opening Remarks
MegaRobo
Tian Qiong: Data Infrastructure for AI for Science
Zhixiang Ren, Chief AI Scientist, SmartLogic
De Novo Design and Development of Functional Antibodies Based on Generative Large Models
Shuangjia Zheng, Co-founder of Aureka, Researcher of Shanghai Jiao Tong University
Wet-lab Data Acquisition for Rapid Iteration of AI-powered Macromolecular Drugs
Lei Shi, SVP, Biointron
New Infrastructure for AI-driven Novel Drug R&D
Peifeng Tang, CTO, MegaRobo
How to Build an AI-native Biotech in One Year
Xuan Xian, CIO & Director of AI Drug Research Institute, GeneScience Pharmaceutical
TBD
Lianyi Han, Head of AIDD, Hengrui Medicine
TBD
Chris Lai, Co-founder, Chairman & CEO, METiS TechBio
Building an Ecosystem for AI-enabled Pharmaceutical R&D
Michael Fanjie, President, Pharmaceutical BU, Huawei
TBD
Yunlong Song, Founder & CEO, Yunji Zhiyao Biotechnology
Topic: AI-powered Pharmaceutical Era: Policy Guidance, Scenario Practice and Collaborative Evolution of Industrial Ecosystem
Yan Zhang（Moderator）, Co-founder & Senior Vice President, MegaRobo
Xuan Xian, CIO & Director of AI Drug Research Institute, GeneScience Pharmaceutical
Huaxing Zhu, Chairman, Novoprotein
Zhiyong Xie, Chief AI Officer, Fosun Pharma
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