Yuedong Yang
Professor at Sun Yat-sen University
Guangzhou City, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolYuedong Yang is a Professor and computational biologist with nine years of senior experience applying HPC and deep learning to structural bioinformatics and health informatics. He leads a research group at the National Supercomputer Center in Guangzhou that couples high-performance computing with AI to tackle biomedical problems, building on a strong track record in protein structure prediction and knowledge-based potential functions (DFIRE2/dDFIRE) developed and licensed during his time at Indiana University. His work spans ab initio and template-based modeling, plus applications to protein–DNA/RNA interactions, reflecting a rare blend of theoretical method development and practical software impact. Yuedong’s career includes academic appointments at Sun Yat-sen and Griffith University and a PhD in Bioinformatics from the University of Science and Technology of China, grounding his leadership in both computation and molecular biology. Colleagues cite his combination of large-scale data analytics, domain-specific modeling, and experience scaling algorithms on supercomputing infrastructure as a distinctive strength.
9 years of coding experience
8 years of employment as a software developer
PhD, Bioinformatics, PhD, Bioinformatics at University of Science and Technology of China
English, Chinese
Github Skills (18)
ranking10
react9
science9
computer-science9
prediction6
protein-sequences5
pairwise4
computational-biology4
sequence4
binding3
representation-learning3
chainer3
bioinformatics3
machine-learning2
graph2
Programming languages (2)
Github contributions (5)
yuedongyang/GRASP
Feb 2019 - Dec 2019
Accurate Prediction of Genome-wide RNA Secondary Structure Based on Extreme Gradient Boosting
Contributions:4 commits, 1 push in 9 months
sysu-yanglab/Self-Corrected-Retrosynthetic-Reaction-Predictor
Jul 2019 - Nov 2020
Contributions:8 pushes, 1 branch in 1 year 4 months
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