Ph.D. in Biomedical Engineering · Johns Hopkins University
I develop algorithms and computational models to decode how genomes encode, regulate, and evolve biological function, from regulatory sequence grammar to the spatial organization of cells in disease.
During my PhD at Johns Hopkins (2018–2024), I developed mathematical models and computational methods to study regulatory genome evolution, including gkm-align, a computational model for identifying functionally conserved regulatory elements across evolutionarily distant mammals, and contributed to large-scale ENCODE/IGVF CRISPRi perturbation screens to map gene regulatory networks.
At Lunit (2024–present), I apply these computational frameworks to spatial tumor biology, integrating histological morphology and spatial transcriptomics to study the tumor microenvironment and mechanisms of therapeutic resistance in cancer.
My broader goal is to develop quantitative models of how regulatory genomic information drives tissue self-organization and how its misregulation causes disease. The research spans sequence-level regulatory grammar, gene regulatory network dynamics, and the spatial patterning of cell states in development and cancer.
(* co-first authors · •• highlighted in Curr. Opin. Genet. Dev.)