A research professional with strong background in academic research and data-driven analysis. Proven ability to contribute to impactful research projects and adapt to evolving research needs. Known for collaborative spirit and consistent focus on achieving project goals. Proficient in statistical analysis, laboratory techniques, and academic writing.
Contribution: I primarily focused on developing a pipeline using Python to filter various genomic parameters for
identifying GSH sites. Additionally, I collected and curated data from public resources necessary for the
project. Besides that, I was also responsible for analyzing RNA-Seq data and contributing significantly to
drafting the manuscript
Contribution: My primary responsibility in this project involved processing and analyzing NGS data, including
RNA-Seq, ATAC-Seq, and ChIP-Seq, along with data management and visualization. I also contributed in
writing specific sections regarding data analysis of the methods of the manuscript.
Contribution: My role in this project mainly focused on motif sequence analysis and data visualization and
representation.
Genome-wide identification and characterization of insulator elements, Qian Q., Shrestha D., Minzhang Z., Zhijun M., Tang X., Sheng Z., Cheng Y.
Contribution: I mainly focused on the processing and analysis of NGS data such as ATAC-Seq, ChIP-
Seq, PRO-Seq etc. Additionally, I also played a key role in training machine learning regression models
using Scikit-learn. I was also responsible for collecting and cleaning data from public resources, managing
and visualizing data. Currently, I am working on manuscript preparation.