I use computation to ask and answer biological questions. My biological interest is to understand gene regulation: How does DNA encode regulatory networks that enable cellular differentiation? Gene regulatory systems are finely tuned, and when they break down, it can lead to diseases like cancer. To better understand normal and diseased gene regulation, I collect high-throughput genome-scale data in single cells and cell populations, and then harness the power of supercomputing, machine learning, and software engineering to answer questions about biological systems.

I completed my PhD at Duke in 2013, working on computational analysis of gene regulation in primates and among human cell-types with Terry Furey (now at UNC), Greg Crawford (Duke), and Boris Lenhard (Imperial College London). After my PhD, I was an HFSP Postdoctoral Fellow in Christoph Bock’s Lab at the Center for Molecular Medicine, Vienna, Austria, with the return phase of my fellowship in Howard Chang’s Lab at Stanford.