Rongting Huang
Postdoctoral Scholar at Beth Israel Deaconess Medical Center
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolRongting Huang is a postdoctoral scholar with eight years of experience developing statistical and computational methods for single-cell and spatial genomics, with a Ph.D. in Cancer Genomics from the University of Hong Kong. She specializes in allele-specific somatic copy number variation detection and applies novel spatial technologies and modeling to advance research in gynecologic cancers and women’s health. Currently joint-appointed at Stanford and Beth Israel Deaconess Medical Center, she bridges academic rigor with translational focus across leading labs. Her background in bioinformatics (MSc, Peking University) and top-ranked engineering undergraduate training underpin a strong quantitative and systems-oriented approach. Beyond the bench, she balances high-risk outdoor pursuits like rock climbing with creative practices such as calligraphy, a combination she credits for sustaining curiosity and resilience in complex data-driven projects.
8 years of coding experience
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at Peking UniversityThe University of Hong Kong (HKU)Bachelor of Engineering - BE, Automation, Rank 1/98, Bachelor of Engineering - BE, Automation, Rank 1/98 at Xiamen University
English, southern min (hokkien), Chinese, Chinese
Stackoverflow
81reputation
2kreached
1answer
0questions
Github Skills (30)
nmf10
cancer-genomics10
rna-velocity10
spatial-transcriptomics10
single-cell-analysis10
probabilistic-models9
bioinformatics9
bayesian9
transcriptomics9
rna-seq9
monitoring7
machine-learning7
deep-learning7
rsqlite6
boost6
Programming languages (5)
Github contributions (5)
Rongtingting/xcltk
Feb 2021 - Jul 2025
Toolkit for XClone (warning: under development, not stable)
Contributions:1 push, 1 branch in 4 years 5 months
under-development
single-cell-genetics/XClone
Nov 2022 - Mar 2023
Detection of allele-specific subclonal copy number alterations from single-cell transcriptomic data.
Contributions:5 releases, 1 review, 35 commits in 4 months
cnvbioinformaticsallelecopy-numbersingle-cell-rna-seq
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