Xin Huang
Postdoctoral Researcher at University of Vienna
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolXin 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.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computional Biology, Doctor of Philosophy - PhD, Computional Biology at University of Chinese Academy of SciencesBachelor of Science - BSc, Biochemistry and Molecular Biology, Bachelor of Science - BSc, Biochemistry and Molecular Biology at South China Agricultural University
teochew, Chinese, English, Chinese
Github Skills (41)
fitness10
genetic10
forge10
distributions10
simulate9
genetics9
conda9
genomics9
population-genetics8
open-access8
slim8
python8
sequence8
bioinformatics8
simulation8
Programming languages (7)
Github contributions (5)
xin-huang/sai
Nov 2024 - Apr 2025
Statistics for Adaptive Introgression
Contributions:3 releases, 29 PRs, 146 pushes in 4 months
adaptive-introgressionpopulation-genomicspython
xin-huang/pgml
Jan 2024 - Mar 2025
PGML Notes: Interactive Jupyter Notebooks for an Introduction to Population Genetics with Machine Learning
Contributions:3 reviews, 10 PRs, 124 pushes in 1 year 2 months
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