

Ryan Suk, PhD, MS
Lead

Maryam Kheirandish, PhD, MS
Postdoctoral Fellow (2024~ )
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.
Jianing Quan, MPH, BSN
Research Associate (2024~ )
Jianing Quan received her master's degree from Emory University School of Public Health in 2024 and her bachelor's degree in nursing along with her registered nurse license in 2022.
She has been involved in the projects "Cancer Pain Management: A Technology-Based Intervention for Asian American Breast Cancer Survivors" and "Technology-Based Information and Coaching/Support Program Tailored for Asian American Midlife Women Who Are Family Caregivers of Persons Living with Alzheimer’s Disease" for two years.
She is proficient in using Qualtrics and Recap to design surveys, data collection, and using SAS and R. Her research interests focus on cancer-related symptoms and women's health.

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