Lifan Liang
Postdoctoral Scholar at University of Chicago
New York, New York, United States
Summary
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Senior🎓
Top SchoolLifan Liang is a postdoctoral scholar and computational biologist with eight years of experience developing novel models to dissect molecular mechanisms of cancer using multi-omics data. Based at the University of Chicago after doctoral training in Biomedical Informatics at the University of Pittsburgh, he integrates protein-protein interaction, SNV, copy-number, ATAC-seq, ChIP-seq and RNA-seq data to reveal functional insights across epigenomics, transcriptomics, and proteomics. His work combines rigorous method development with hands-on high-throughput data analysis, and his GitHub showcases reproducible pipelines and tools for large-scale omics integration. Comfortable bridging code and biology, he focuses on interpretable models that translate complex datasets into testable hypotheses for cancer research.
8 years of coding experience
6 years of employment as a software developer
Huazhong University of Science and TechnologyDoctor of Philosophy - PhD, Biomedical Informatics, Doctor of Philosophy - PhD, Biomedical Informatics at University of Pittsburgh
Github Skills (2)
discovery1
annotations1
Programming languages (1)
Github contributions (5)
LifanLiang/Isolaton-clustering
Sep 2018 - Aug 2020
Contributions:11 commits, 9 pushes, 3 branches in 1 year 10 months
LifanLiang/EM_BMF
May 2019 - Nov 2019
Contributions:24 commits, 23 pushes in 6 months
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