Summary
Chaojie Yang is a PhD student in Biochemistry and Molecular Genetics at the University of Virginia with eight years of experience applying biostatistics and bioinformatics to unravel mechanisms of complex diseases. He specializes in integrating multi-omics data—genomics, transcriptomics, proteomics, and methylation—using R, Python, and SAS to perform rigorous data cleaning, statistical analyses, and compelling visualizations. Comfortable in high-performance computing environments (AWS, SLURM) and adept at navigating major public repositories (UKBB, TCGA, GTEx, dbGaP, 1000 Genomes), he bridges computational methods with disease biology to drive translational insights. His background includes industry exposure through a Regeneron bioinformatics internship and applied biostatistics work supporting study design and QC at a public health genomics center. Known for collaborative communication with biologists and statisticians, he also brings a track record of developing novel analysis procedures and presenting findings at scientific meetings.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Biostatistics, Master's degree, Biostatistics at Georgetown University
Bachelor's degree, Biostatistics, Bachelor's degree, Biostatistics at Southern Medical University
Doctor of Philosophy - PhD, Biochemistry and Molecular Genetics, Doctor of Philosophy - PhD, Biochemistry and Molecular Genetics at University of Virginia
English, Chinese, Chinese