Yuan Xue is a bioinformatics scientist with 10 years of experience applying computational biology, machine learning, and quantitative modeling to develop non-invasive cancer diagnostics and optimize genomics assays. Based in Palo Alto, he combines a Stanford Bioengineering PhD and a strong experimental background—single-cell RNA-seq, enzyme kinetics, and assay development—with hands-on data science at ClearNote Health. His academic work produced 10+ publications, including first-author discoveries in antigenic variation and immune cell types, and the recombinant discovery of a cold-active DNA polymerase. Yuan is comfortable bridging wet-lab and computational teams, translating mechanistic insights into robust diagnostic pipelines. Less obvious: he has repeatedly led both computational and biochemical projects, giving him rare expertise in profiling enzyme kinetics alongside population-scale sequencing analyses.
10 years of coding experience
6 years of employment as a software developer
Molecular Biophysics, Molecular Biophysics at UT Southwestern Medical Center
Diocesan Boys' School
High School Diploma, High School Diploma at La Salle Catholic College Preparatory
Bachelor of Arts (BA), Biology, Bachelor of Arts (BA), Biology at Reed College
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Stanford University School of Engineering
Doctor of Philosophy (Ph.D.), Bioengineering, Doctor of Philosophy (Ph.D.), Bioengineering at Stanford University
Contributions:29 pushes, 1 branch in 7 years 1 month
command-line-interpreterinterpretercli
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