Bringing Greater Precision to Interactions Between Community Health Workers and Households to Improve Maternal and Newborn Health Outcomes in India Maternal & Child Health, Community Health WorkersThe Beauty Shop StudioSeptember 22, 2020Publication
Understanding why at-risk population segments do not seek care for tuberculosis: a precision public health approach in South India The Beauty Shop StudioSeptember 9, 2020Publication
Facilities are substantially more influential than care providers in the quality of delivery care received: a variance decomposition and clustering analysis in Kenya, Malawi and India Maternal & Child HealthThe Beauty Shop StudioAugust 19, 2020Publication
Fighting COVID-19’s Disproportionate Impact on Black Communities With More Precise Data COVID-19The Beauty Shop StudioJune 15, 2020Publication
Social distancing across vulnerability, race, politics, and employment: How different Americans changed behaviors before and after major COVID-19 policy announcements. COVID-19The Beauty Shop StudioJune 6, 2020Publication, Presentation
Using AI to Understand What Causes Diseases Machine LearningThe Beauty Shop StudioNovember 18, 2019Publication
Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide Machine LearningThe Beauty Shop StudioOctober 21, 2019Publication
Demystifying Machine Learning for Global Development Machine LearningThe Beauty Shop StudioJuly 24, 2019Publication
CUBES: A practical toolkit to measure enablers and barriers to behavior for effective intervention design CUBESThe Beauty Shop StudioMay 18, 2019Publication
Design Thinking Without Deep Data Will Fail Our Customers in Global Health The Beauty Shop StudioFebruary 14, 2019Publication
Time to Scale Psycho-Behavioral Segmentation in Global Development The Beauty Shop StudioOctober 15, 2018Publication
