Department of Human Genetics
University of Chicago
My academic CV (PDF, 40kB)
I am an R developer. I work on developing scalable statistical methods and software, to solve some of the most challenging data-intensive problems in next-generation biology and medicine. My Erdős number: 4.
My research interests are in the area of statistical machine learning, primarily method development for real-world predictive modeling tasks, including:
Hacking data and models with R is fun. I love R's scalability for tackling large-scale computational challenges, and its capability of making elegant data visualizations.
My favorite technology stack: R, Shiny, Docker, D3.js, Python, PostgreSQL