Dr. Maryam Kheirandish holds a B.S. and M.S. in Industrial and Systems Engineering from Iran University of Science and Technology, Tehran, and a Ph.D. in Industrial Engineering from the University of Arkansas. Her doctoral research focused on expanding data analytics techniques to enhance tuberculosis treatment, a pivotal global health challenge. 

Maryam's research is at the intersection of statistical modeling, machine and deep learning, and stochastic dynamic programming, with a focus on risk-based decision-making in healthcare operations. Her dissertation explored the complexities of predicting tuberculosis treatment outcomes through advanced data analytics, addressing the challenges of modeling irregular multivariate longitudinal health data, quantifying prediction uncertainty in neural networks, and developing non-stationary reinforcement learning algorithms.

She aspires to contribute significantly to the fields of healthcare quality improvement and patient outcome prediction and optimization through her innovative research, aiming for impactful advancements in global health initiatives.