Jeremy Goldhaber-Fiebert is a PhD candidate in health policy at Harvard University. He uses decision science to identify policy options that increase population health. His research includes cost estimation methods in low-resource settings; Markov model analyses of cervical cancer screening in developing countries; the cost-effectiveness of increasing patient return rates; and Monte Carlo microsimulations examining US cervical cancer prevention policy. He earned an AB in American history and literature, magna cum laude, from Harvard University. After working as a software engineer, he conducted a randomized controlled trial of a public health intervention for diabetic patients in Costa Rica.