Study on host-phage interaction in the paddy soil under climate change

Research program, State Key Laboratory of Nutrient Use and Management, CAU

• Research focus: paddy soil host-virus interaction by meta-omics
• Methods: Metagenomics, metatranscriptomics, viromics, and targeted metabolomics
• Advisor: Jingjing Peng

Research Project on paddy soil microbiome under salt stress by metatranscriptomics

Research program, Key Laboratory of Plant-Soil Interactions of MOE, CAU

• Research focus: the impacts of increasing salinity on the metabolic status of distinct populations
• Method: Metatranscriptomics (Double-RNA Approach)
• Advisor: Jingjing Peng

In this research project, I delved into the paddy soil microbiome, specifically exploring how increasing salinity affects distinct microbial populations. Using metatranscriptomics with a double-RNA approach, I analyzed the metabolic responses of soil microorganisms to changing salinity levels, contributing valuable insights to sustainable agriculture practices.

Comparative Analysis of medical image Segmentation Models

Course project on Artificial intelligence and experiments (Grade: A)

My research focuses on using UNet and UNet++ architectures for bladder wall segmentation and tumor detection in MRI scans. UNet and UNet++ are renowned for their image segmentation capabilities.

UNet merges low-level and high-level features, enhancing segmentation. UNet++ further improves UNet with nested skip connections for detailed segmentation.

During UNet++ training, I faced gradient vanishing issues due to early stopping. UNet++ has more parameters than used in this project, and reducing them with pruning techniques remains a challenge.

Development of Crop Management Platform

Cornell Hackathon/CAU “Xingnong Cup”

During my participation in the Cornell University Digital Marathon, I led the development of an advanced crop model, earning a second-class award in the Xingnong Cup (CAU). This model integrates real-time monitoring and future prediction data, providing precise crop growth projections and yield forecasts.

My role involved providing crucial agricultural technical support and leading front-end development efforts. The project has secured software copyright, highlighting its potential to enhance agricultural practices and reduce production costs.

Undergraduate Research Project on methanogens by Amplicon

Undergraduate Research Project

My project aimed to understand methane (CH4) emissions in paddy soil layers by studying the effects of nitrogen fertilizer and biochar application. I used quantitative analysis of the methanogenic mcrA gene and considered environmental factors influencing CH4 emissions.

This research integrates soil properties, uncovering the microbial aspects of carbon and nitrogen cycles. It enhances our knowledge of sustainable rice agriculture and informs decisions on carbon and nitrogen management.