Hi there! Welcome.

Currently, I am a Principal Statistician on the Statistical Modeling and Methodology team at Johnson & Johnson Innovative Medicine, conducting simulation-based methods research for combining data from randomized trials and observational studies.

I earned my PhD in Biostatistics at the Johns Hopkins Bloomberg School of Public Health where I was advised by Dr. Elizabeth Stuart. My dissertation research focused on statistical methods for generalizing findings from randomized trials to a target population, and transporting measurement error correction from validation studies to intervention trials. My applied public health interests also include oncology, mental health, and LGBTQ+ health.

I am also a former Data Science for Social Good Fellow, where I worked with an interdisciplinary team to build a predictive model for an individual’s risk of developing Type 2 Diabetes.

Education

Johns Hopkins University | Baltimore, MD
BA in Public Health Studies | August 2011 - May 2015

Experience