Summary
Zijie Zhao is a Senior Scientist in Population Health Omics at Bristol Myers Squibb with 11 years of experience applying statistical and machine learning methods to multi-omics, longitudinal, biobank, and clinical-trial data to accelerate drug discovery. He holds a PhD in Biomedical Data Science/Biostatistics from the University of Wisconsin–Madison and has a research track record in statistical genetics, including genetic risk prediction and method development. At BMS he progressed from Scientist in Human/Clinical Genetics to his current role, translating complex omics signals into actionable insights for population health. His work bridges rigorous biostatistical theory and practical predictive modeling, often combining longitudinal study design considerations with modern ML approaches. Based in Cambridge, MA, he pairs a publication record with hands-on implementation and an eye for interpretable models—more than just weights and biases. Colleagues value his ability to navigate both academic rigor and industry timelines to drive translational impact.
10 years of coding experience
Doctor of Philosophy - PhD, Biomedical Data Science/Biostatistics, Doctor of Philosophy - PhD, Biomedical Data Science/Biostatistics at University of Wisconsin-Madison