Summary
Yuanyuan Wu is a PhD candidate and computational biologist with nine years of experience applying Python, R, HPC and modern ML/DL methods to multi-omics problems, from mitochondrial genome editing studies to integrative CPTAC and GEO analyses. At Cornell she combined experimental design and wet-lab coordination with advanced data processing—bulk transcriptomics, proteomics integration, survival modeling and imaging pipelines—to produce two first-author manuscripts and drive reproducible pipelines. She is seeking roles as a data scientist, bioinformatician, biostatistician or postdoc in the Greater Seattle area or remotely, and brings hands-on experience deploying regression and logistic growth models to quantify biological effects. Notably, she pairs bench-savvy experimental insight with scalable computational tool-building and lab management experience, making her effective at translating complex omics datasets into actionable biological hypotheses.
9 years of coding experience
Doctor of Philosophy - PhD, Nutrition | Concentrations: Genomics, Molecular Nutrition, Molecular Biology, Human Nutrition, Doctor of Philosophy - PhD, Nutrition | Concentrations: Genomics, Molecular Nutrition, Molecular Biology, Human Nutrition at Cornell University
University of Illinois Urbana-Champaign
Bachelor of Engineering - BE, Biological/Biosystems Engineering and Human Nutrition, Bachelor of Engineering - BE, Biological/Biosystems Engineering and Human Nutrition at Zhejiang University
English, manderin, wenchow dialect