Mengyao Zheng is a Data Scientist at Novo Nordisk Inc., where she develops advanced machine learning and causal inference solutions to optimize healthcare marketing and rare disease analytics. Her work integrates large-scale real-world data, automation, and business intelligence to drive strategic decision-making across commercial operations. Mengyao earned her M.Sc. in Biostatistics (Data Science concentration) from Harvard University and B.Sc. in Financial Mathematics from Xi’an Jiaotong-Liverpool University, graduating top of her class. She has published peer-reviewed papers in IEEE Internet of Things Journal, IEEE ICPADS, IEEE BIBM, and ACM AIChallengeIoT, with over 110 citations. Her research focuses on privacy-preserving AI for healthcare, including federated learning, homomorphic encryption, and causal inference. She also serves on the Planning Committee of the Pharmaceutical Management Science Association (PMSA), contributing to national discussions on analytics innovation in the pharmaceutical industry.

Federated Learning, Privacy-Preserving Machine Learning, Cybersecurity