Yuansheng Zhou
Postdoctoral Researcher at UT Southwestern Medical Center
San Diego, California, United States
Summary
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Top SchoolYuansheng Zhou is a postdoctoral researcher and data scientist in San Diego with eight years of experience bridging physics and computational biology. Trained in physics at Peking University and holding a PhD in Quantitative Biology from UCSD, he develops novel algorithms to extract intrinsic geometry and dynamics from high-dimensional biological data. His work includes hyperbolic multidimensional scaling, h-SNE for transcriptome visualization, clique topology for olfactory space, and multi-phase dynamic mode decomposition for spatiotemporal pattern discovery. At UT Southwestern he applies these quantitative tools to translational problems, often collaborating directly with experimental biologists. He combines strong theoretical grounding with practical software implementation, producing methods that improve interpretability of complex biological systems. An understudied strength is his ability to translate abstract geometric ideas into visualization tools that reveal biological organization not apparent with standard techniques.
7 years of coding experience
University of California, San DiegoBachelor's degree, Physics, Bachelor's degree, Physics at Peking University
Github Skills (7)
hyperbolic7
points6
embedding5
sampling5
polyhedra4
topological-data-analysis4
scaling2
Programming languages (1)
Github contributions (4)
gyrheart/Hyperbolic-MDS
Jun 2018 - Feb 2021
Sampling points and doing multi-dimensional scaling in Hyperbolic space
Contributions:3 PRs, 6 pushes, 3 branches in 2 years 7 months
multi-dimensionaldimensionaltopological-data-analysispolyhedrahyperbolic
gyrheart/Hyperbolic-t-SNE
Feb 2021 - Nov 2021
Perform t-SNE embedding in hyperbolic space
Contributions:9 commits, 8 pushes, 1 branch in 9 months
hyperbolicembeddingt-sne
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