300 Words | Approximately 1 Minutes Read | Last Modified on March 17, 2020
My work spans a range of subjects at the interface of genetics, statistics & machine learning, bioinformatics, and neurological sciences.
My current research focuses on the study of genetic etiology of neurological disorders, through integrating from diverse human populations large-scale multi-omics data-sets as well as phenotypic records (e.g. self-reported phenotypes, electric health records and medical images). I am most interested in those “non-trivial” problems that motivate development of new computational approaches in order to make new discoveries. On the technical side, I enjoy writing statistical software and bioinformatics workflows. I support transparent and reproducible research, and I implement these practices in my daily work.
- Methods and applications for functional genomic variants discovery
- Population and family-based GWAS, fine-mapping, multi-ancestry analysis
- Multi-omics data integration and analysis of regulatory genome
- Rare variants and copy number variations
- Applications to Alzheimer’s disease
- Methods and applications for Alzheimer’s disease risk profiling with medical records
- Methods and applications for molecular phenotypes and QTL discovery
- Gene expression, splicing, chromatin accessibility, methylation, proteomics
- Genetic association and phenotypes prediction
- Applications to multi-omics data in brain tissues
- Inference of causal relationships with multiple molecular phenotypes and diseases
- Development of statistical benchmarks and bioinformatics pipelines
Please find in here a list of my past research projects.