I am thrilled to be joining the Statistics PhD program at Texas A&M University in Fall 2024. As a recent graduate from Southern Medical University, where I majored in Biostatistics and achieved a 3.95/4.00 GPA (top 2% of my class), I am currently visiting Jian Yang's Lab at Westlake University to further enrich my research experience before starting my doctoral studies.

Throughout my academic career, I have been recognized for excellence - receiving the prestigious National Scholarship from the Ministry of Education of China (top 0.2% of students nationally) and ranking first among my peers multiple times.

Under the supervision of Prof. Jun Chen at Mayo Clinic and Prof. Liangliang Zhang at Case Western Reserve University, my research has predominantly centered around microbiome data analysis. As a research assistant at Mayo Clinic, I played a pivotal role in the development and refinement of the MicrobiomeStat R package tailored for longitudinal data analysis. This involved writing over 17,000 lines of R code and diligently crafting an extensive wiki documentation exceeding 20,000 words. Currently, I am also actively working on a Shiny version of MicrobiomeStat, with the development progress already reaching halfway. It's heartening to note that renowned labs are harnessing the power of MicrobiomeStat for their microbiome analyses. Specifically, UCSD's gilbert-lab is utilizing MicrobiomeStat for a large-scale marine microbiome cohort analysis. Moreover, my passion led me to spearhead the MicrobiomeGallery collaborative platform, emphasizing my dedication to the domain.

At Case Western Reserve University, I had the privilege of being the sole first author on a paper accepted by Bioinformatics, featuring the ggpicrust2 R package. This tool, which I independently developed, offers a new perspective on microbiome functional profiling. As of January 29th, 2024, the GitHub repository has received 73 stars, and the package's popularity continues to grow with over 9,500 downloads on CRAN.

I have been honored with notable accolades in various national modeling competitions, attesting to my robust quantitative aptitude. Specifically, I was awarded the First Prize in the National College Student Mathematics Competition and received the Meritorious Winner (M Award) in the Mathematical Contest in Modeling (MCM) organized in the United States.

Collaboration and Co-Authorship: I am fervently open to and interested in collaborative opportunities, especially those involving microbiome/multi-omics data analysis. My experience with tools like ggpicrust2 and MicrobiomeStat, and their impact in the field, has encouraged me to seek co-authorship opportunities. If you have utilized these tools in your research or are considering doing so, I am more than willing to contribute significantly, potentially as a co-author, bringing my analytical expertise to enhance the depth and quality of the work.

Recent News

• As of March 27th, 2024, the citation count for ggpicrust2 has reached 16 citations, demonstrating the package's increasing impact and recognition within the research community.
• As of March 16th, 2024, the ggpicrust2 R package has been downloaded over 9,800 times on CRAN, showcasing its widespread adoption and popularity among users.
• On October 6th, since the official publication of ggpicrust2 in Bioinformatics in August, it has been cited 3 times within two months.
• On October 6th, the download counts for the ggpicrust2 R package on CRAN officially surpassed 5,000, achieving another remarkable milestone.
• On August 5th, I completed the manuscript, code, and documentation for MicrobiomeStat, a comprehensive R package for longitudinal microbiome data analysis, with plans to submit to Bioinformatics in August.
• On August 1st, my paper ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization was published online in Bioinformatics.
• On April 27th, the arXiv preprint of ggpicrust2 surpassed 500 reads on ResearchGate, placing it in the top 1% of most-read papers for the year 2023.
• On March 18th, the paper titled ggpicrust2: an R package for PICRUSt2 predicted functional profile analysis and visualization was published on arXiv.