I am a Quantitative Scientist at Flatiron Health, working on methods for leveraging real-world data cohorts as external and hybrid control arms for cancer clinical trials.

In March 2020, I completed my PhD in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health working with 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 Autism Spectrum Disorders, mental health, and LGBT 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.