Our lab’s activities can be broadly separated into two categories: using crowdsourcing to accelerate biomedical research, and applying computational systems biology to directly advance biomedical discovery.
- Crowdsourcing Biology: We build tools to harness the collective efforts of the community (both researchers and the general public) toward solving grand challenges in biology. These “community intelligence” initiatives are powerful because they scale with the explosive growth of data generation in science.
- Integrative Biology: Our group embraces the data mining challenges that have resulted from high-throughput, multi-dimensional and multi-modal biology. We have many ongoing research projects that span multiple disease areas, from immunology to metabolism to neurobiology, and these are often collaborations with some of the world’s experts in these areas.
We are always interested in recruiting talented individuals to join our team. If you fit that description, please get in touch!