معرفی
Zhijun Yin is an Assistant Professor in the Department of Biomedical Informatics and Computer Science at Vanderbilt University's School of Engineering. His research focuses on developing machine learning and data mining techniques to analyze health behaviors through online data sources like social media and electronic health records (EHRs). He holds dual appointments in Biomedical Informatics and Computer Science, reflecting his interdisciplinary work in health informatics and computational methods.
Yin earned a Ph.D. in Computer Science and an M.S. in Biostatistics from Vanderbilt University. His research spans ethical AI applications in healthcare, predictive modeling for disease recurrence, and understanding caregiver dynamics in online communities. He has published extensively on topics including AI ethics, health data privacy, and leveraging social media for medical insights.
Notable areas of focus include optimizing word embeddings for small medical datasets, improving risk prediction models using EHR longitudinal data, and addressing algorithmic bias in healthcare AI systems. His work often bridges biomedical data analysis with computational methodologies, aiming to enhance patient care through technology-driven solutions.
