Chingyao Yang

Q: What is Ching-yao Yang email address?

Email Ching-yao Yang at chingyao.yang@emory.edu. This email is the most updated Ching-yao Yang's email found in 2026.

Q: How to contact Ching-yao Yang?

To contact Ching-yao Yang send an email to chingyao.yang@emory.edu. (updated on April 28, 2025)

Bioinformatics Analyst at Emory University | Lilburn, Georgia, United States

About Chingyao Yang

Ching-yao Yang is a dedicated Bioinformatics Analyst at Emory University, leveraging a robust background in bioinformatics and computational biology to advance cutting-edge research initiatives. With a Master’s degree in Bioinformatics & Computational Biology, Ching-yao specializes in developing and applying sophisticated computational tools to interpret complex biological data, particularly in the realm of single-cell genomics. Currently, they play a pivotal role in projects such as the Comparative scRNA-Seq Analysis using Seurat, where they utilize advanced data integration and normalization techniques to uncover cellular heterogeneity and lineage trajectories. Their expertise extends to single-cell pathway analysis, employing gene set enrichment methods like GO, Hallmark, and C2 to elucidate molecular mechanisms underlying disease states, including Long Covid.

Ching-yao’s work is characterized by proficiency in programming languages such as Python and R, alongside experience with high-performance computing (HPC) environments and SLURM workload managers, enabling efficient processing of large-scale datasets. Their recent publications, including "BatchFLEX" for feature-level equalization of X-batch effects and "BERLIN," a tool for single-cell RNA-seq analysis and cell lineage determination, highlight their innovative contributions to the field. They also possess practical skills in software troubleshooting, Linux system administration, and molecular techniques like PCR and recombinant DNA, which complement their computational expertise.

Through their role at Emory University, Ching-yao Yang continues to push the boundaries of bioinformatics research, integrating statistical analysis, data visualization, and machine learning approaches to generate insights that inform biomedical discoveries. Their multidisciplinary skill set and commitment to advancing single-cell genomics research make them a valuable asset in the evolving landscape of bioinformatics.

Chingyao Yang Work