معرفی
Aaron Hudson, PhD is an Assistant Professor in the Biostatistics, Bioinformatics and Epidemiology Program within the Vaccine and Infectious Disease Division and Public Health Sciences Division at the Fred Hutchinson Cancer Center. He is also a Member of the Translational Data Science Integrated Research Center (TDS IRC) at Fred Hutch.
Education:
- PhD in Biostatistics from University of Washington, Seattle (2021)
- BS in Statistics from University of Illinois at Urbana-Champaign (2016)
Dr. Hudson's research focuses on high-dimensional and nonparametric statistical inference with applications in public health and medicine. His primary research interests include nonparametric statistics, high-dimensional data analysis, causal inference, graphical models, and vaccine efficacy trials. His work develops and employs statistical tools to analyze immune responses to vaccination and assess risks of adverse health outcomes, utilizing advanced computational techniques including machine learning.
An analysis of his recent publications reveals a strong focus on methodological development for nonparametric inference on function-valued statistical parameters that arise in causal inference and prediction problems. His work particularly emphasizes applications in vaccine efficacy trials, analysis of high-dimensional biological networks, and treatment effect heterogeneity. The integration of machine learning techniques with rigorous statistical inference appears as a consistent theme across his research portfolio.
Dr. Hudson has developed several methodological approaches for analyzing complex biomedical data, including covariate-adjusted differential network analysis, statistical inference for qualitative interactions, and nonparametric methods for dose response functions. His GitHub repositories demonstrate active software development to implement these statistical methods.
Prior to joining Fred Hutch, Dr. Hudson was a postdoctoral fellow in the Division of Biostatistics at the University of California, Berkeley School of Public Health, working with Maya Petersen and Mark van der Laan. He completed his PhD at the University of Washington Department of Biostatistics under Ali Shojaie.
