Talk: Maya Petersen - Optimize and Evaluate HIV interventions in East Africa using Targeted Machine Learning and Causal Inference

World-renowned biostatistician Prof. Maya Petersen, UC Berkeley, will give a talk at the Department of Public Health on May 20th. The talk introduces some of the methods developed by Prof. Petersen and her group at Berkeley and demonstrates why such novel methods were required to optimize as well as evaluate HIV interventions in East Africa. The methods developed by Prof. Petersen allow keeping the scientific question front and center while simultaneously enabling advanced data analytics to extract the most information from a given data set. The talk is open for all - and aimed at all – interested in cutting edge quantitative methods.

Practicalities

Speaker: Maya Petersen, UC Berkeley (https://publichealth.berkeley.edu/people/maya-petersen)

Title: Optimize and Evaluate HIV interventions in East Africa using Targeted Machine Learning and Causal Inference

Time: Tuesday the 20nd of May at 14:15 - 15:00

Place: CSS Building 35. Room: 35.01.06 (this is in the basement of the building and easy access is from Gammeltoftsgade 15)