I am an Assistant Professor of Statistics in the Department of Mathematics and Statistics at Williams College. Originally from Grand Rapids, MI, I graduated with a B.S. in Biology and Mathematics from Calvin College in May 2013. I received my PhD in Biostatistics from the University of Washington in 2018, working under the guidance of Dr. Michael Wu.
My research is focused on the development of statistical methodology for the analysis of microbiome data. I am particularly interested in community-level analysis of the microbiome using kernel machine regression methods, as well as feature selection and prediction methods that account for compositionality and extrinsic data structure.
In addition, I have worked on a variety of collaborative projects, including longitudinal studies of the microbiome in the context of GVHD, perinatal depression and anxiety, diet and nutrition, and other health conditions, and using human population genetics to learn about human history in central Europe. I am always interested in new collaborative endeavors!
For more information, see my CV or explore the Research and Teaching pages of this website.