Peng Liu is a Senior Scientist in Biostatistics at Merck with a decade of experience applying statistical methods to oncology clinical trials and collaborative biomedical research. He holds a PhD in Biostatistics from the University of Pittsburgh and during his postdoc at Carnegie Mellon developed joint-lassosum, a novel method for estimating polygenic risk scores across ancestries. Peng blends academic rigor with industry impact, from EHR-based risk prediction for CKD to nonparametric subgroup identification using gradient tree boosting. He is comfortable leading cross-functional study design and end-to-end analysis pipelines in R, and has taught advanced R computing to graduate students. Based in Pittsburgh, he brings a strong record of translating complex genomic and clinical data into actionable statistical solutions. An under-the-radar strength is his ability to bridge method development and practical trial analysis, making cutting-edge techniques usable in regulated drug development settings.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Medicine, Preventive Medicine in School of Public Health, GPA 3.5, Bachelor of Medicine, Preventive Medicine in School of Public Health, GPA 3.5 at Sun Yat-sen University
Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at University of Pittsburgh
Contributions:6 commits, 24 pushes, 1 branch in 1 year 7 months
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