Xin Huang

Postdoctoral Researcher at University of Vienna

Vienna, Austria
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Summary

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Senior
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Top School
Xin Huang is a postdoctoral researcher based in Vienna with 11 years of experience at the intersection of population genetics and computational biology. He develops and applies statistical and computational methods to infer introgression and the distribution of fitness effects from population genomic data, bridging theory and large-scale empirical analyses. His background includes industry-facing genomics pipeline development for GWAS and a PhD in Computational Biology, giving him fluency in both production workflows and academic method development. Known for translating complex evolutionary questions into tractable inference problems, he often combines rigorous modeling with practical pipeline implementation.
code11 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computional Biology, Doctor of Philosophy - PhD, Computional Biology at University of Chinese Academy of Sciences
bookBachelor of Science - BSc, Biochemistry and Molecular Biology, Bachelor of Science - BSc, Biochemistry and Molecular Biology at South China Agricultural University
languagesteochew, Chinese, English, Chinese
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Github Skills (31)

genetic10
journal9
simulation9
genetics9
sequence9
genomics9
open-access9
population-genetics8
slim8
python8
conda8
machine-learning8
bioinformatics8
simulate8
academia7

Programming languages (8)

JavaC++RForthCHTMLJupyter NotebookPython

Github contributions (5)

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xin-huang/SeleDiff

Mar 2018 - Nov 2021

A fast and scalable tool for estimating and testing selection differences between populations
Contributions:11 releases, 3 PRs, 82 pushes in 3 years 7 months
testing
xin-huang/sstar

Mar 2022 - Dec 2022

Detecting Archaic Introgression from Population Genetic Data with S*
Contributions:2 releases, 19 reviews, 72 commits in 9 months
pythongenetic-datageneticintrogressionpopulation-genomics
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