Skip to main content

Third Meeting of the DS-I Africa Consortium
3 November - 9 November 2023

Recorded sessions

  • Dr Akbar Waljee - Speaker

    UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science (Co-PI)

    Dr. Akbar K. Waljee is an accomplished physician-scientist in healthcare policy and innovation, focusing on using machine learning and deep learning techniques to improve healthcare outcomes. He holds several key leadership positions at the University of Michigan, including serving as the faculty lead for the IHPI Data and Methods Hub and the Co-Director of the Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP) as well as a convener for the e-Health and Artificial Intelligence program (e-HAIL). Dr. Waljee's educational background includes undergraduate and medical degrees from Emory University, as well as a master's degree in health services research from the University of Michigan. He also completed a healthcare policy fellowship at the Center for Health and Research Transformation. Dr. Waljee's work is aimed at improving healthcare access, quality, and efficiency, particularly in resource-constrained settings. He employs novel machine learning techniques to develop AI-enabled decision support systems and tools to facilitate more personalized care for disease management and healthcare utilization, with the ultimate goal of delivering efficient, effective and equitable care both locally and globally.