Bio
Dr. He received his PhD from the University of Michigan in 2016. Following a postdoctoral training in biostatistics at Columbia University, he joined Stanford University in 2018. His research is concentrated in the area of statistical genomics and integrative analysis of omics data, with the aim of developing novel statistical and computational methodologies for the identification and interpretation of complex biological pathways involved in human diseases and aging. His methodology interest includes high-dimensional data analysis, machine learning algorithms and explainable AI.
