I work on statistical methods for understanding multivariate biological data, with the ultimate goal of unlocking the potential of big data to improve human health. Major themes in my research include the development of statistical methods for the inference of biological networks and for the analysis of microbiome data.
WEBSITE(S)| Lab Group Website | LinkedIn
Education
Postdoc, Biomedical Data Science - Stanford University, 2014 - 2016
PhD, Statistics - Rice University, 2013
AB, Applied Mathematics - Harvard University, 2005
Honors & Awards
2024 Andrew Sabin Family Foundation Award
2020 Nominee for the Robert M. Chamberlain Distinguished Mentor Award, MD Anderson Postdoctoral Association
2015 Savage Award for best dissertation in applied methodology, International Society for Bayesian Analysis (ISBA)
2014 Postdoctoral Fellowship, Stanford Center for Computational, Evolutionary, and Human Genomics (CEHG)
2014 Section on Bayesian Statistical Science (SBSS) student paper competition award winner
2011 - 2013 Predoctoral Fellowship, National Library of Medicine (NLM) Biomedical Informatics Research Training Program
2009 - 2011 Predoctoral Fellowship, T32 Training Grant in Biostatistics for Cancer Research, National Cancer Institute (NCI)