My CV is available for download here.
Graduate Methods Research
I began statistical methods research in the Summer of 2016 as part of the Song Lab group. My dissertation research focuses on the analysis of big and complex data. Specifically, I am working on distributed inference methods for high-dimensional correlated outcomes, such as brain imaging or metabolite data.
Graduate Applied Research
Since January 2018, I have been working with Professor Jian Kang on an integrative analysis of high-dimensional networked data, including targeted and untargeted metabolite data and genetic SNP data.
From 2015 to 2018, I worked as an analyst in the Data Management and Modeling Core of the Children's Environmental Health and Disease Prevention Center of the University of Michigan. My work primarily focused on analysis of metabolomic, epigenetic, anthropometric and exposure data.
From 2015 to 2018, I worked as an analyst in the Data Management and Modeling Core of the Children's Environmental Health and Disease Prevention Center of the University of Michigan. My work primarily focused on analysis of metabolomic, epigenetic, anthropometric and exposure data.
Undergraduate Honours Research Project
In the Fall 2013 term, I completed an Honours research project in statistical brain image analysis with Professor Asgharian from McGill University, and Dr. Shmuel, from the Montreal Neurological Institute.
Undergraduate Summer 2013 NSERC USRA
In the Summer of 2013 I worked with Professor Shepherd on a cooperative game theoretic model introduced by Papadimitriou (2001) for routing demands in a capacitated network.
