His research goal is to understand gene regulation by building broadly applicable computational tools to analyze high-throughput genomic assays. This approach works by carefully investigating the experimental design and developing data-driven models using computer science and high-dimensional statistics to better understand how genes regulate each other and how disease disrupts gene networks.

Department: Computational Medicine


UCLA Profile