- I am an IVADO Postdoctoral Fellow working with Dr. Guillaume Lettre at Montreal Heart Institute.
- I obtained my PhD in Quantitative Life Sciences at McGill University supervised by Dr. Josée Dupuis and Dr. Hamed Najafabadi.
- Previously, I obtained my bachelor's degree in preventive medicine and data science from Fudan University.
My ultimate goal is to improve healthcare for all through inclusive, reproducible and actionable research. During my PhD, I have developed several computational methods in line with this goal:
1. To identify causal genetic variants for diseases based on statistical associations and functional annotations (fine-mapping)
- We developed SparsePro to address the key challenge of integrating statistical evidence and functional genomic data.
- Software: SparsePro
- Simulation and real data analyses: Zhang et al.
- Code to reproduce analyses: SparsePro_analysis
2. To detect shared genetic signals across different phenotypes to identify actionable targets for diseases (colocalization)
- Built upon SparsePro, we developed SharePro to account for correlation between genetic variants in colocalization analysis.
- Software: SharePro_coloc
- Simulation and real data analyses: Zhang et al.
- Code to reproduce analyses: SharePro_coloc_analysis
3. To characterize genetic effect heterogeneity across populations with different environmental exposures (GxE)
- We adapted SharePro to reduce multiple testing burden in GxE analysis.
- Software: SharePro_gxe
- Simulation and real data analyses: Zhang et al.
- Code to reproduce analyses: SharePro_gxe_analysis
Check out my other projects on Google Scholar!