I am a Professor of Statistics at Penn State and the associate chair of the Bioinformatics and Genomics graduate program. My research focuses on developing statistical methods to uncover complex patterns in large-scale biological data, with a long-standing emphasis on assessing and improving reproducibility in high-throughput genomics. I develop latent variable models and machine learning approaches to identify scientifically meaningful structure in high-dimensional data.

More recently, my work has expanded to social science data and the study of large language models, with a focus on human–AI collaboration and the reliability and reproducibility of data-driven scientific workflows. 

I received my Ph.D. in Statistics from the University of Washington and completed my postdoctoral training at the University of California, Berkeley.