معرفی
Baolin Wu is a Professor of Epidemiology and Biostatistics at the University of California, Irvine's Joe C Wen School of Population & Public Health. He holds PhD and BS degrees in Biostatistics (Yale University) and Probability/Statistics (Peking University), respectively. His research integrates biostatistics, machine learning, and genomics to solve biomedical problems, particularly in pharmacogenomics and transplant outcomes.
Research Focus: Dr. Wu develops statistical methods for high-dimensional data, including GWAS integration, multi-omics analysis, and machine learning applications in kidney transplantation, psychiatric genetics, and pharmacogenomics. His NIH/NSF-funded work emphasizes translational impact through collaborations.
Honors:
- Mentored junior faculty selected for Plenary presentation (American Transplant Congress 2021)
- PhD advisee awards: Outstanding Dissertation Fellowship (2020), Research Assistant Award (2018)
- American Statistical Association Best Poster Award (2019)
Current Projects: Leading statistical development for genomics studies (TOPMed consortium), tacrolimus pharmacogenetics in diverse populations, and polygenic risk modeling for complex diseases.
