Xinghu Qin
Machine Learning Engineer
Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolXinghu Qin is a machine learning engineer and evolutionary biologist with eight years of experience applying deep learning to population genetics, omics, biodiversity, and evolutionary problems. He holds a PhD from the University of St. Andrews for work on machine learning in population genetics and pairs that quantitative research background with earlier training in biological control and plant protection. Based in Scotland, Xinghu blends domain expertise in genetics and evolution with practical ML engineering to build models that extract evolutionary insights from complex biological data. Colleagues describe him as someone who moves between theory and application comfortably—designing algorithms informed by biological nuance rather than treating data as generic inputs.
8 years of coding experience
Master’s Degree, Biological Control, 2013, Master’s Degree, Biological Control, 2013 at Chinese Academy of Agricultural SciencesBachelor’s Degree, Plant Protection and Integrated Pest Management, 2009, Bachelor’s Degree, Plant Protection and Integrated Pest Management, 2009 at Shandong Agricultural UniversityDoctor of Philosophy (Ph.D.), Machine learning and deep learning in population genetics, Doctor of Philosophy (Ph.D.), Machine learning and deep learning in population genetics at University of St. Andrews
English, Japanese, Chinese
Github Skills (18)
shap9
shapley9
gradient-boosting9
genome8
deep-learning8
gwas8
machine-learning8
genomics6
bioinformatics6
kernel5
bioconductor3
pca3
r-package2
parallel1
r1
Programming languages (4)
Github contributions (5)
xinghuq/DeepGenomeScan
Aug 2020 - Sep 2022
DeepGenomeScan: A Deep Learning Approach for Whole Genome Scan (WGS) and Genome-wide Association Studies (GWAS)
Contributions:1 release, 189 commits, 1 PR in 2 years 1 month
association-studiesgenomescanassociationdeep-learning
xinghuq/HierDpart
Sep 2018 - Jun 2021
Contributions:20 commits, 21 pushes, 1 branch in 2 years 8 months
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