Siyeon Kim

Siyeon Kim, MA
PhD Candidate, Department of Biostatistics
University of North Carolina at Chapel Hill

Research areas: Precision medicine, statistical machine learning, deep learning

Current Research:

• Inference of a doubly-robust utility function estimator for two outcomes and their individualized treatment regime
• Estimation and optimization for more than two outcomes

Applied Projects:

• Subgroup estimation for patients with knee-osteoarthritis using random forest informed tree-based learning
• Individualized treatment regime estimation for survival time of patients with arthritis in multi-stage setting
• Ultrasound image classification of patients with knee-osteoarthritis by convolutional neural networks

E-mail: siyeonkk@live.unc.edu
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