Brian Kwan

Brian Kwan, Ph.D., is an Assistant Professor in the Department of Health Science at California State University, Long Beach. Previously, he held a Postdoctoral position at UCLA's Department of Biostatistics. He specializes in biostatistics, data analytics, and data science with a focus on public health and medicine. His research involves developing advanced statistical methods for functional data analysis, particularly in kidney disease, mental health, and reproductive health. Dr. Kwan earned his Ph.D. in Biostatistics from UC San Diego and a B.S. in Mathematics from UC Irvine.

• Education:
  • Ph.D. in Biostatistics, UC San Diego
  • B.S. in Mathematics, UC Irvine

His research interests emphasize novel statistical methods for healthcare applications, including prognostic modeling, biomarker discovery, and longitudinal cohort studies. Notable contributions include work with the Chronic Renal Insufficiency Cohort (CRIC) Study, focusing on diabetic kidney disease and metabolomic markers. He also investigates reproductive health outcomes in cancer survivors and the impact of treatments like chemotherapy on fertility.

Dr. Kwan's recent publications highlight advancements in Bayesian modeling for kidney disease progression and the role of antimüllerian hormone (AMH) in fertility tracking. His work bridges statistical innovation with clinical relevance, addressing urgent public health challenges such as pandemic impacts on healthcare access and labor migrant health equity.

• Awards:
  • Leadership Award, UCSD Division of Biostatistics & Bioinformatics
  • Lester R. Curtin Award, American Statistical Association
  • NSF Graduate Research Fellowship

He advises on grants related to kidney disease and cancer survivorship, and his teaching philosophy prioritizes student engagement with real-world statistical applications. Dr. Kwan collaborates extensively with interdisciplinary teams in CRIC and other longitudinal studies, contributing to both academic and clinical advancements.