Education

  • 2018 – 2024: Ph.D. in Biomedical Engineering, Tulane University, GPA: 3.86/4.0
Non sibi, sed suis (Not for oneself, but for one's own)
  • 2021 – 2024: M.Sc. in Computer Science, Georgia Institute of Technology, GPA: 3.72/4.0
Progress and Service
  • 2016 – 2018: M.Sc. in Bioengineering and Biomedical (Minor in Electronic and Computer Engineering), University of Florida, GPA: 3.83/4.0
Civium in moribus rei publicae salus (The welfare of the state depends upon the morals of its citizens)
  • 2012 – 2016: B.Ec. in Biomedical Engineering, Xi'an Jiaotong University, GPA: 80/100
精勤求学，敦笃励志，果毅力行，忠恕任事

Research Expertise

My research integrates imaging informatics, graph neural networks, and computational biology to develop novel methods for precision medicine. I specialize in building deep learning frameworks for analyzing brain functional connectivity from fMRI data, with a focus on interpretable graph-based architectures.

I have extensive experience in multi-omics data integration, genomic analysis, and biomedical image analysis. My technical expertise spans Python, PyTorch, high-performance computing, and bioinformatics pipelines. I work at the intersection of machine learning and biomedical science to develop translational computational tools.

Methods

Graph Neural Networks, Deep Learning, Statistical Learning, Multi-omics Integration, Imaging Informatics

Tools & Languages

Python, TensorFlow, PyTorch, Java, MATLAB, SQL, C/C++, R

Domains

Neuroimaging (fMRI), Cancer Genomics, Digital Pathology, Biomarker Discovery

Service To Profession

Medical Image Analysis · IEEE Trans. Pattern Analysis and Machine Intelligence · IEEE Trans. Medical Imaging · IEEE Trans. Image Processing · IEEE Trans. Biomedical Engineering · NeuroImage · Pattern Recognition · Neural Networks · Human Brain Mapping