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Resume (English only)
Academic Achievements
- Published multiple high-impact papers including 'Neural relational inference to learn longrange allosteric interactions in proteins from molecular dynamics simulations' in Nature Communications.
- Developed G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers.
- Introduced scGNN, a novel graph neural network framework for single-cell RNA-Seq analyses.
Research Experience
Has extensive research experience in the field of bioinformatics; in recent years, has focused on the intersection between bioinformatics and deep learning.
Education
Not explicitly provided
Background
Focused on research and education in bioinformatics and computational biology.
Miscellany
The laboratory is located at the University of Missouri and maintains a wide network of international collaborations.