Ph.d candiadate at NK(Nankai University)
- 🔭 My current field of work involves various key areas such as multi-omics data engineering, software development, artificial intelligence, algorithm development, data visualization, and deep learning.
- 🍵 Single-Cell/Nucleus Transcriptomics
- 🍵 Chromatin Accessibility Mapping
- 🍵 Spatial Transcriptomics
- ☕ Silico Gene Perturbation/Treatment Analysis
- ☕ Domain Adaptation
- ☕ Representation Learning
- ☕ Transfer Learning
- 🍸 Python and R Package Development
- 🍹 Data analysis and visualization software development
- 🌱 I am currently immersed in studying programming languages such as R, Linux, Python, Java;
- 🌱 Build software frameworks using Electron, and implement software visualization with CSS/HTML/D3.js/Shaders/P5.js/Three.js, etc.
- 🌱 In addition, I am deeply exploring mathematical algorithms in the field of deep learning, biotechnology engineering, and visual development of data mining tools.
- 😄 I’m looking forward to developing some R/Python packgaes for visualization.
i am also an open-source enthusiast and maintainer. i learned a lot from the open-source community and i love how collaboration and knowledge sharing happened through open-source.
- :🎉: SuperOmics
- :🎇: TransProPy
- :📔: VividCodeRBook :📔: AlgoToolsPyBook :📔: TransProRBook :📔: TransProPyBook