Director, Data Science & Machine Learning
Johnson & Johnson
Zhenwen is Director of Data Science & Machine Learning at Johnson & Johnson, where he designs and delivers enterprise-scale AI products across multiple business units.
He brings end-to-end experience across the SDLC and MDLC, leading globally distributed teams to take solutions from concept to production.
His expertise spans machine learning, generative AI, cloud computing, and real-time data systems. With a strong mathematical foundation and hands-on engineering background, he specialises in building scalable, production-ready AI systems that deliver measurable business impact.