Mathematical biology

I am an applied mathematician working at the interface of mathematics, biology, medicine, and data science. My research develops mechanistic mathematical models, analyzes their qualitative and control properties, and constructs inference methods that connect those models to experimental or observational data. The unifying goal is to identify the mechanisms that govern complex biological systems and to use those mechanisms to make predictions or design interventions.

I am particularly interested in questions that are difficult to answer through experiments alone, and I often work closely with experimentalists. Much of my work involves undergraduate and graduate students that connect theory, computation, and biological data.