Hanzhang Liu

Hanzhang is the Lead Data Scientist at Johnson & Johnson’s, where she has been driving optimization and simulation-based decision-making for nearly seven years. She specializes in network optimization, maximizing capacity utilization while minimizing costs, and currently leads J&J’s Digital Value Chain Options Modeling capabilities—leveraging Digital Twin simulation and advanced analytics to optimize global supply chain strategies.
Hanzhang has played a key role in enhancing J&J’s supply chain resilience, driving initiatives that have led to millions in cost avoidance, reduced cycle times, and improved strategic decision-making. She collaborates closely with cross-functional teams, bridging data science with business strategy to enable smarter, more proactive supply chain planning.
She holds a master’s degree in industrial and systems engineering from Lehigh University and is passionate about using data-driven solutions to solve complex operational challenges. Sally is also an advocate for knowledge-sharing, contributing to the growth of data science talent within J&J and beyond.