Personal information
Biography
I’m interested in understanding dynamical biological processes through the lens of single-cell genomics. To this end, I develop computational tools and apply them to solve biological questions that arise in processes including development, regeneration, and reprogramming. In my postdoc, I’m particularly interested in studying the development of the human brain in organoid model systems, integrating spatiotemporal data across molecular modalities to understand regulatory relationships. In the past, I co-developed CellRank, a framework to study cell fate decision-making using multi-view single-cell data, including gene expression and RNA velocity, as well as moslin, a method to integrate gene expression with lineage tracing data across time points, and moscot, a method for the spatiotemporal era of single-cell genomics.