معرفی
Yiqun Chen, PhD is an Assistant Professor in the Department of Biostatistics at Johns Hopkins University's Bloomberg School of Public Health. With a PhD obtained in 2022, Dr. Chen maintains an active research program at the intersection of biostatistics, artificial intelligence, and public health applications.
Dr. Chen's research spans multiple high-impact domains including:
- Statistical methodology development for selective inference and graph-based models
- AI applications in single-cell biology and biomedical engineering
- Social network analysis in HIV transmission contexts
- Clinical risk stratification systems for dermatology and oncology
Recent publication trends show strong focus on methodological innovations in statistical computing (2023-2025) with increasing applications in biomedical domains. The work demonstrates particular expertise in adapting cutting-edge AI techniques like ChatGPT for biological data analysis while maintaining rigorous statistical foundations.
Dr. Chen's research has garnered attention across multiple platforms including 80+ X posts, Bluesky references, and news coverage, indicating significant impact in both academic and public spheres.
