Sahil has been studying structural properties of large-scale social networks, by developing mathematical and statistical methods, to investigate whether more connected individuals encourage better societal outcomes. As a Fellow, Sahil will pivot from statistical network modelling to causal inference and plans to measure the effects of large-scale public health campaigns on independently observed outcomes such as vaccine uptake.