International powerhouse for causal inference aimed at answering pressing statistical questions using both randomized control and observational studies.
New initiative to offer universal testing to students, staff, and faculty as they return to the UC Berkeley campus and to develop rapid response protocols and effective infection control.
The Sustainable East Africa Research in Community Health (SEARCH) consortium designs and tests evidence based treatment and prevention interventions that will guide a global effort to end AIDS using a multi-disease, multi-sector approach.
In the current HIV epidemic response, high variability in implementing contexts and epidemic settings demands epidemiological designs and analytic methods that are able to detect and respond to heterogeneity effectively and efficiently. This project leverages the rich data increasingly generated in the course of the HIV epidemic response, and applies targeted machine learning to advance adaptive design and analytic approaches.
An adaptive strategy for preventing and treating lapses of retention in adult HIV Care II (ADAPT-R).
Using targeting learning techniques to assess the performance of an integrated diabetic care program calls DIABETIMSS,
Scalable online super-learner for predicting health outcome phenotypes and an online scalable super learner of an optimal individualized treatment rule for improving these health outcomes.