Gangcai Xie
Professor at Nantong University
Nantong, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolGangcai Xie is a computational biologist and professor with 17 years of experience applying high-throughput sequencing and AI to biomedical problems spanning aging, cancer prognosis, rare disease diagnosis, stem cell research, and tissue regeneration. As head of a research group at Nantong University, he focuses on natural aging processes using single-cell multi-omics and leads drug-development efforts for age-related diseases through omics data mining. He has a PhD in Computational Biology, founded two biotech startups, and completed postdoctoral training at Columbia University and CHOP, blending entrepreneurial and translational research experience. He has developed practical tools such as EHR-Phenolyzer for clinical-genomic diagnosis and GDP, a deep-learning–based cancer prognosis predictor, demonstrating a knack for turning complex genomics into usable software.
17 years of coding experience
6 years of employment as a software developer
Phd, Computational Biology, Phd, Computational Biology at University of Chinese Academy of SciencesBachelor's degree, Biology, Bachelor's degree, Biology at University of Science and Technology of China
English, Chinese, German
Github Skills (55)
single-cell-genomics10
python10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
cran10
bioinformatics9
single-cell-analysis8
pipeline8
genes8
r-package7
gpt6
Programming languages (7)
Github contributions (5)
gangcai/ZebEndoimmune
Sep 2019 - Oct 2024
Contributions:1 release, 5 pushes, 1 branch in 5 years 2 months
WGLab/GDP
Feb 2018 - Nov 2019
Group lasso based Deep Neural Network for Cancer Prognosis
Contributions:1 release, 47 commits, 12 pushes in 1 year 8 months
neural-network
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