Xiaoping’s CV

PROFILE

I am now mainly contributing to research on

• Genome wide association studies focus on pregnancy-related outcomes (placenta weight, birth weight and gestational duration) and selected childhood diseases (febrile seizure, psychiatric disease, epilepsy, metabolic disease, and congenital heart defect)
  
• Polygenic risk score estimation
• Linear regression and Logistic regression analysis
• Mendelian randomization analysis for Birth weight and psychiatric disease
• Integrate Single-cell RNA sequencing data with genome-wide association results to distinguishes disease association cells

PhD and 5 years postdoc experience in Quantitative Genetics and Genomics. I was mainly contributing to research focusing on

• Quantitative genetics and genomics
  
• Population genetics
  
• Statistical genetics

My Publications

I can offer

• Years of experience in both human genetics and animal breeding and genetics
  
• Years of experience on bioinformatics and post-GWAS analysis
  
• Years of experience research within the field of genome wide association analysis and genomic prediction
  
• Knowledge about different statistical genetic models - linear mixed model, Bayesian model and logistic regression model.
• Experience in handling large data set, such as whole genome sequence data and different density of SNP-chip data
  
• Rich experience with linux, R, and python
  
• Rich experience in reproducible research using Snakemake and conda

I thrive in diverse, team-based environments, and comfortable with leading and being led.