I am an Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health, a Preceptor in the Department of Biochemistry and Molecular Biology PhD program, and a faculty member of the Johns Hopkins Data Science Lab. I’m also a co-host of the The Corresponding Author podcast, member of the Editorial Board for Genome Biology, and co-founder of R-Ladies Baltimore.
I completed my postdoctoral training with Rafael Irizarry (@rafalab) in the Department of Data Science at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health. This postdoctoral research resulted in a K99/R00 grant from the National Human Genome Research Institute (NHGRI) (@genome_gov) to develop statistical methods for the normalization and quantification of single-cell RNA-sequencing data (R00HG009007).
Currently, I co-lead as a Principal Investigator a R01 grant from the National Institute of Mental Health (@NIMHgov) to develop improved statistical methods for the integrative cellular deconvolution of human brain RNA sequencing data (R01MH13183).
Most recently, I was selected for the Teaching in the Health Sciences Young Investigator Award and the COPSS Leadership Academy from the American Statistical Association (ASA), arguably the statistical profession’s most prestigious award for early career leaders in Statistics and Data Science.
For more information, my full CV can be viewed on Overleaf here.