Raesetje Sefala

Research Intern, MILA; Cofounder, Women in Computational Science Research

Mila- Quebec AI Institute

Montreal, CA

https://sefalab.github.io/

Creating ground truth datasets and data-oriented models for solving problems in developing countries

About the work

My work focusses on creating ground truth labels which probably never existed before, and these datasets have to represent different populations fairly, including populations of different gender groups.

Impact

Since it is often very expensive for low-income countries to conduct surveys extensively and frequently, exploring alternative methods using machine learning could help estimate various types of information for a more informed dialogue/analysis.