Yuqi Tan
PhD Candidate
California, United States
Summary
👤
Senior🎓
Top SchoolYuqi Tan is a computational biologist and PhD candidate with nine years of experience developing quantitative tools to assess cell identity, advance stem cell engineering, and dissect cancer heterogeneity. Based in California, she combines big-data analysis and algorithm development with a strong publication record and hands-on teaching across six bioinformatics and programming courses for diverse learners. Her training spans Johns Hopkins (PhD in Biochemistry, Cellular and Molecular Biology), a visiting neuroscience stint at Brown, and a first-class BSc from The Chinese University of Hong Kong, reflecting deep interdisciplinary rigor. Known for a humble, data-first approach, she excels at turning complex single-cell and genomic datasets into actionable biological insight.
9 years of coding experience
Doctor of Philosophy (PhD), Biochemistry, Cellular and Molecular Biology, Doctor of Philosophy (PhD), Biochemistry, Cellular and Molecular Biology at The Johns Hopkins University School of MedicineVisiting Student, Neuroscience, 4.0/4.0, Visiting Student, Neuroscience, 4.0/4.0 at Brown UniversityThe Chinese University of Hong Kong (CUHK)
English, Chinese, Chinese
Github Skills (27)
classify10
transcriptomics9
single-cell-analysis8
bioinformatics8
rna-seq6
meta-analysis6
scanpy6
rna-velocity6
machine-learning6
python6
deep-learning5
scales5
pytorch5
data-science4
seq4
Programming languages (3)
Github contributions (5)
yuqiyuqitan/yuqiyuqitan.github.io
May 2019 - Feb 2025
Contributions:31 pushes, 1 branch in 5 years 9 months
CahanLab/singleCellNet
Jun 2017 - Apr 2021
SingleCellNet: classify single cells across species and platforms
Contributions:2 releases, 285 commits, 176 pushes in 3 years 10 months
classifyplatformscells
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