Daniel is interested in synthetic biology, specifically in molecular logic, designing small molecules to have predictable, repeatable, and orthogonal input-output relationships. For his Ph.D., he is focused on increasing system complexity, reducing leaky signals and crosstalk, designing dynamic materials with proteins and nucleic acids, and developing systems for applications in biosensing, environmental monitoring, drug delivery, and precise spatiotemporal control of gene expression.