معرفی
Jingchen Liang is a Biostatistician at the Yale School of Public Health, Department of Biostatistics. Their work focuses on statistical methods in public health research, collaborating with experts like Lakshmanan Krishnamurti and Thomas M. Gill on studies related to sickle cell disease, aging populations, and health equity.
- Biostatistics Department, Yale School of Public Health
- Collaborations: Hematopoietic cell transplantation, neighborhood health disparities, and SARS-CoV-2 risk analysis
Research Interests: Liang specializes in biostatistical modeling applied to clinical and epidemiological studies. Key areas include optimizing transplant outcomes for sickle cell disease, quantifying socioeconomic impacts on aging health, and validating disease severity scoring systems.
Publication Trends: Recent work spans hematopoietic transplantation complications, health equity in aging populations, and statistical method development. Articles from 2024-2025 emphasize predictive modeling, clinical data analysis, and social determinants of health.
Collaborative Networks: Liang works closely with clinical researchers in hematology, gerontology, and dermatology, contributing statistical expertise to multidisciplinary projects like the Ichthyosis Scoring System validation and SEEN program evaluation.
Contact: jingchen.liang@yale.edu