I focus on integrative analysis of large-scale molecular data such as GWAS and single-cell data. The biological endeavor is on mechanistic interpretation of variants discovered in GWAS. The computational challenges involve analyses of high-dimensional, multimodal, and very-large-scale data. Specific topics include:
Genetics: GWAS, scRNA-seq, scATAC-seq, eQTL/pQTL, heritability estimation, disease-critical cellular contexts, Mendelian randomization, scRNA-seq experimental design.
Machine learning and statistics: multiple hypotheses testing, Monte Carlo methods, empirical Bayes, causal inference, algorithm acceleration, multi-armed bandits.