I am a quantitative researcher currently based in London. I am pursuing my PhD in Statistics at Imperial College London. Previously, I worked as a Senior Data Analyst at PayScale, where I helped maintain and analyze PayScale’s Salary Survey. I am also a former Post-Bachelor Fellow at the Institute for Health Metrics and Evaluation, where I helped develop models used to produce estimates of HIV/AIDS burden for the Global Burden of Disease study.

My research interests lie generally in statistical machine learning, particularly as it relates to epidemiology. I am currently focusing on developing the methods necessary to infer HIV incidence over space and time simultaneously, a challenge that requires synthesizing classical epidemiology, spatial statistics, and machine learning.

My CV and citation list are available on this website under the About section.