معرفی
Jianlei Gu is an Associate Research Scientist in Biostatistics at the Yale School of Public Health, with a focus on integrating genetic, environmental, and clinical data to address complex public health questions. Their work spans cancer epidemiology, infectious disease modeling, and kidney disease mechanisms.
- Yale School of Public Health, Department of Biostatistics
- Research Interests: Biostatistics, Genetic Epidemiology, Environmental Health Informatics, Machine Learning Applications
Recent research highlights include:
- Analysis of tumor microenvironments in HIV-associated lung cancer
- Development of novel classification systems for HBV-related liver cancer
- Studies on hemodynamic differences in hypertension across populations
- Machine learning applications for disease diagnosis (e.g., diabetic kidney disease, phenylketonuria)
- Investigations into gene-environment interactions in polycystic kidney disease
Collaborations with Yale faculty like Hongyu Zhao and Harlan Krumholz have produced 41+ publications, with recent work focusing on:
- Epigenetic controls of metabolic disorders
- Population-level air pollution impact studies
- Immune checkpoint inhibitor response prediction models
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