My research focuses on understanding how dynamic gene regulatory networks control cells’ fate decisions during tissue development and regeneration. This work integrates machine learning and single-cell transcriptomics with lineage tracing and genetic perturbations to dissect biologically relevant sub-networks across embryonic tissues and stem cells. I am also interested in bridging computational predictions with experimental validations to relate cells’ distinct phenotypes with underlying mechanisms of gene regulation.
PhD in Computational Biology and Medicine, 2024
The Rockefeller University
BSc in Molecular Biology and Applied Mathematics, 2019
Lipscomb University