Peng Zhang

Peng Zhang is an accomplished Senior Data Scientist with 18 years of experience in statistical methodology, machine learning, and predictive analytics within clinical and biomedical research. Currently serving as a Biostatistics Associate Director at Amgen, Peng leads innovative statistical frameworks aimed at enhancing personalized patient risk assessment and optimizing clinical trial outcomes. Previously, Peng held key roles at the University of Michigan and Peking University, where contributions included developing novel statistical methodologies and driving medical imaging analysis projects. With proficiencies in programming languages such as R, Python, C++, and SQL, Peng excels in communicating complex statistical insights through R Shiny dashboards and guiding cross-functional teams in data-driven initiatives.