About Me
My work focuses on using innovative implementation science methods to answer pressing questions around improving public-sector health systems and health policies globally. I have particular interests in improving the prevention and treatment of mental illness in low-resource settings in the US and globally. In addition, I am passionate about the use of quasi-experimental designs and routine health information systems data to optimize the scale-up of complex health systems approaches globally.
I am currently PI or Co-I on a number of mental health and/or implementation science projects in the US, Mozambique, India, and Guatemala (see 1R01MH134882, 1R01MH123682 for examples). As faculty in the Department of Global Health, I teach the Advanced Global Health Evaluation Methods course (GH537) offered each spring focused on quasi-experimental designs and analyses. I have also worked to develop online distance learning courses in implementation science that have trained >1,000 students from >30 countries.
✪ Data-driven quality improvement in low-and middle-income country health systems: lessons from seven years of implementation experience across Mozambique, Rwanda, and Zambia
Tackling the hard problems: Implementation experience and lessons learned in newborn health from the African Health Initiative
✪ Stepped-Wedge Cluster Randomized Controlled Trial to Promote Option B+ Retention in Central Mozambique
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