Why I steered my career away from Theoretical Physics and Towards Data Science for Good
Transitioning away from science for curiosity’s sake to working with HIV and global development, the data science way. Happiness, wealth, knowledge, status? […]
LINK and DETECT: how ‘big lab data’ is helping to determine HIV Vertical Transmission routes of exposed infants
Lab data is going to be key in the next phase of HIV epidemic management. As more countries stabilise the number of patients […]
3 Things global development needs to know about Big Data and Analytics
An outsider’s perspective on the inability to leverage private sector gains Joining Palindrome and shifting my attention from big tech and financial services to […]
Bridging the Public-Private Gap: How a Decade-Long Debate Became a Data Science InnovationElementor #3319
History and OriginsFor as long as I can remember, my friend Lucien and I have argued over whose work makes more of […]
The New School: How Machine Learning Levels Up from Traditional Modelling
The value of statistical models cannot be underestimated. The ability to predict specific health outcomes with a certain level of confidence in […]
Triaging Clients at Risk of Disengagement from HIV Care: Application of a Predictive Model to Clinical Trial Data in South Africa
Our latest research has been published in the Risk Management and Healthcare Policy Journal. This study underscores the potential of integrating predictive […]
Examining the potential of ART patient risk scoring in managing LTFU
The PREDICT Field Study is a project pioneered by a collaboration of Palindrome Data with, Right to Care, Indlela, and HEERO in […]
