We are a multi-disciplinary hybrid wet/dry lab at the University of Pittsburgh and affiliated with the Department of Biomedical Informatics, Bioengineering and UPMC Hillman Cancer Center. The primary focus of our group is developing integrative statistical and machine learning approaches for extracting therapeutic insight from highly heterogenous omic datasets, clinical and drug response data for the purpose of precision medicine. Our projects are in the areas of cancer systems biology, epigenetics of drug response, and immunotherapy and are executed through multi-disciplinary collaborations.
Fundamental questions motivate research in our group:
Why do some patients respond to treatment, while others not?
Why are some treatments effective initially, but fail over time?
How do cancer cells acquire the ability to spread from one part of the body to another?