Since 2024, she is the director of Bio-X, the first interdisciplinary life sciences institute at Stanford.

Kuhl's research integrates physics-based modeling with machine learning and creates interactive simulation tools to understand, explore, and predict the dynamics of living systems[4].

She has pioneered theories and algorithms for automated model discovery and living systems, and applies these theories to brain development, brain damage[5], neurodegeneration[6], Alzheimer's disease, tissue expansion, heart failure, dilated and hypertrophic cardiomyopathy.

During the COVID-19 pandemic, her lab was among the first to use data-driven modeling to integrate classical epidemiology modeling and machine learning to infer critical disease parameters, in real time, from reported data to make informed predictions and guide political decision making[7].

This work gained recognition during a legal challenge of the Newfoundland travel ban[8] and in a study of superspreading events on college campuses[9].