Summary
Jian Dai is a seasoned data science leader with over a decade of experience translating AI and deep learning research into clinically deployed solutions across pharmaceutical R&D. He has built and scaled 20+ person AI teams at Genentech, delivering portfolios in ophthalmology imaging, digital pathology, and enterprise GenAI including agentic LLM applications and fine-tuning pipelines. His work spans from imaging DL for diagnosis and treatment response to RAG, semantic search, and multi-agent frameworks, and he advocates architectures for reliability and agent-agent communication ahead of mainstream publications. Jian combines strategic vision—moving organizations from AI-assisted to AI-native—with hands-on coding in Python, R, SAS and cloud/HPC deployment experience. He pairs technical depth from a PhD in theoretical physics with pragmatic change management and Responsible AI partnerships to drive adoption across functions. An unusual signal of his breadth: a career that bridges quantum-field-theory postdocs to leading real-world clinical AI at scale.
10 years of coding experience
14 years of employment as a software developer
PhD, Theoretical Physics and Mathematical Physics, PhD, Theoretical Physics and Mathematical Physics at Peking University