School of Medicine
Showing 621-640 of 1,580 Results
-
Jiyeong Kim
Postdoctoral Scholar, Dermatology
BioDr. Jiyeong Kim is a post-doctoral scholar at the Stanford Center for Digital Health and the Department of Dermatology School of Medicine. As a multi-disciplined data scientist, Dr. Kim applies artificial intelligence (AI) to clinical informatics, harnessing patient-generated health information and data to enhance patient-centered care, which could be tailored to each patient group for improving patient engagement and better health outcomes. In her work, Dr. Kim leverages large language models, machine learning, and natural language processing to understand patients' and caregivers' genuine voices of care needs and needed support for individuals with chronic diseases, not limited to diabetes, cardiovascular disease, and cancer.
Research Interest
-LLMs and Generative AI to Listen to the Patient
-Generative AI-Assisted Enhanced Patient Care
-ML-based Disease Prediction Modeling
-Patient-Generated Data and Precision Health -
Samsuk Kim, PhD.
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Samsuk Kim is a dual research and clinical T32 fellow at Stanford University. She earned her PhD in Clinical Psychology from the University of Detroit Mercy and completed external research training at the University of Michigan (Kratz Lab), where she studied psychosocial factors—such as mindfulness and pain acceptance—in chronic pain. She also completed an APA-accredited internship at the VA Boston Healthcare System. Clinically, Dr. Kim specializes in pain management, health promotion, adjustment-related challenges, and emotional regulation. She draws from a range of evidence-based treatments, including Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (ACT), mindfulness-based interventions, Dialectical Behavior Therapy (DBT), and interpersonal psychotherapy. Her current research focuses on understanding the bidirectional relationship between sleep and pain and developing personalized, digital interventions to improve outcomes in both domains.
