My primary research concerns estimation and inference from high-dimensional ‘omics’ data, in particular to develop statistical machine learning methods to solve problems in genomics, metabolomics and metagenomics. Networks are important in this learning process because they are well-suited to representing interactions between biomolecules. Some projects that I’m currently working on are:
Before coming to the Hutch, I was a postdoctoral fellow at the University of Pennsylvania mentored by Prof. Hongzhe Li and Prof. T. Tony Cai from 2015-2017. I received my Ph.D. degree in Statistics in 2015 from the University of Michigan, under the supervision of Prof. George Michailidis.
This is a position jointly mentored by Prof. Ali Shojaie and me. Please see the job post for application details.
Fred Hutch is excited to host the 2018 Microbiome Symposium on March 16th, 2018! Sessons include
I will join Biostatistics within Division of Public Health Sciences as Assistant Member, starting from August 1st, 2017.