Jie Hou
Research Assistant at Computer Science, University of Missouri--Bioinformatics, Data Mining, Machine Learning Laboratory
Columbia, Missouri, United States
Summary
👤
Senior🎓
Top SchoolJie Hou is a research-focused machine learning and bioinformatics engineer with nine years of experience developing algorithms for protein structure prediction, protein quality assessment, and omics data analysis. Based at the University of Missouri, Jie combines deep learning, Bayesian networks, HMMs and optimization techniques to translate biological data (RNA-seq, DNA-seq) into actionable models and tools. Comfortable across Python, Perl, R and C++, Jie has produced end-to-end methods for biological network prediction and sequence analysis while pursuing doctoral research. An early background as an assistant programmer analyst sharpened Jie’s data-processing rigor, giving practical experience with large-scale statistical workflows in addition to academic modeling.
9 years of coding experience
University of Missouri
Chinese, English
Github Skills (19)
prediction9
backbone8
high-resolution7
deep-learning5
machine-learning5
structural-biology5
python-bindings4
python3
tensorflow3
protein-structure3
modeling3
architectures3
sampling2
bioinformatics2
mining2
Programming languages (2)
Github contributions (5)
multicom-toolbox/multicom
May 2019 - Apr 2020
Contributions:78 commits, 337 pushes, 1 branch in 11 months
multicom-toolbox/DNSS2
Aug 2019 - Jul 2020
Deep learning architectures for protein secondary structure prediction (version 2)
Contributions:31 commits, 56 pushes, 4 comments in 11 months
architecturessecondarypredictiondeep-learningmachine-learning
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