734-845-3504

Applications:
Bioinformatics, Clinical Research, Epidemiology, Healthcare Management and Outcomes, Learning Analytics, Learning Health Systems, Medical Imaging, Medical Informatics, Mobile Devices, Precision Health
Methodologies:
Algorithms, Artificial Intelligence, Causal Inference, Deep Learning, High-Dimensional Data Analysis, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Network Analysis, Predictive Modeling, Time Series Analysis

Akbar Waljee

Associate Professor

Internal Medicine

I use machine-learning techniques to implement decision support systems and tools that facilitate more personalized care for disease management and healthcare utilization to ultimately deliver efficient, effective, and equitable therapy for chronic diseases. To test and advance these general principles, I have built operational programs that are guiding—and improving—patient care in costly in low resource settings, including emerging countries.