Isabel Fulcher’s research aims to develop innovative causal inference methodologies to improve the delivery of sexual and reproductive health care to at-risk populations. She is particularly interested in statistical methods that can identify underlying causal mechanisms ofpotential interventions in settings where this proves particularly challenging, such as in the presence of unmeasured confounding and spillover effects on a network. Currently, Isabel is working to evaluate and improve the implementation of digital maternal health interventions in Tanzania and Rwanda. As part of these global partnerships, she is committed to statistical capacity building by supporting in-country researchers to participate in and leadlead research. Isabel obtained her PhD in Biostatistics from Harvard University where she was advised by Professor Eric Tchetgen Tchetgen.