Briefly, my research is about how we can best utilize biological data sources to understand biology at multiple levels. This problem has become increasingly challenging over the past decade as new experimental techniques and resources (e.g. gene expression microarrays, tandem mass spectrometry, whole genome knockout collections, etc.) have grown widely available and more affordable. While these data promise to shed light on cellcular mechanisms, gene regulation, protein functions, and ultimately human disease, the rate at which these data are translated into knowledge is currently much slower than the rate of data generation. In order to help bridge this gap, my focus is on developing novel algorithms and approaches for the analysis, exploration and visualization of this data. In particular, these methods incorporate biologists into the early phases of anlysis in order to utilize their existing, expert knowledge.

My complete statements of research and teaching interests are below in pdf format:
Research Statement
Teaching Statement