Principle Scientist, Predictive Science, Immunology And Machine Learning at Bristol Myers Squibb
United States
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Summary
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Yafei Lyu is a Principal Scientist specializing in predictive science at the intersection of immunology and machine learning, with over a decade of experience developing statistical and deep learning models for genomic and single-cell data. He has led multi-omics integration and novel target discovery efforts at Novartis and now Bristol Myers Squibb, building scalable frameworks to align single-cell datasets, reveal disease-associated cell states, and evaluate translational potential of animal models. His toolkit spans Python and R, several published R packages for reproducibility and cross-platform integration, and custom neural-network methods for batch-robust clustering and deconvolution. Trained as a PhD bioinformatician, he combines rigorous statistical method development (e.g., fused graphical lasso, nested copula models) with practical experimental design support and visualization tools to drive translational research decisions. Notably, he has translated academic innovations into industry-scale pipelines that improve cohort selection and patient-journey analyses across cross-institute studies.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Penn State University
Master of Science (MS), Genetics, Master of Science (MS), Genetics at Beijing Forestry University
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Yafei Lyu - Principle Scientist, Predictive Science, Immunology And Machine Learning at Bristol Myers Squibb