I have funding available for PhD students. Graduate students must be part of the UVA graduate programs in Biomedical Engineering or Biomedical Sciences. If you’re not yet at UVA, you should apply through one or both of those programs. For students in these programs, contact for rotations, advising, or collaborations. You’ll be likely to develop some of the skills listed on my page of skills and training materials.

About the lab

The group (http://www.databio.org) occupies wet and dry lab space in the Center for Public Health Genomics. We are also affiliated with the Department of Biomedical Engineering, in the School of Engineering, and Departments of Biochemistry and Molecular Genetics and Public Health Sciences in the School of Medicine. I am also affiliated with the Data Science Institute and the Child Health Research Center.

These affiliations across grounds demonstrate the interdisciplinarity and collaboration priority of the group. We make use of UVA’s high-performance cluster (named Rivanna) for computational analysis. Our research is at the interface of computation and biology, drawing on techniques in computer science, data science, bioinformatics, and statistics, and applying them to biological questions in cancer, epigenetics, single-cell analysis, development, and genomics.

Teamwork is the foundation of my research. I’m trying to build a team of intelligent, creative people who are interested in working together to accomplish great things. I use GitHub to build a shared code base so others can benefit from my work, and I hope to build a team that will contribute to this goal. Writing readable, reusable code pays off as we accumulate useful code and re-apply it to new biological systems. I want to challenge the norm in academic computational research of individual scientists writing isolated code, and instead push open, multi-author code development.

If these topics excite you, please read more about our research interests and open source philosophy.