Research Overview

The lab has modern computing and high resolution visualization systems set up on the 4th floor of the U.A. Whitaker building at Georgia Tech campus. The lab focuses on computation-based translational medicine and molecular biology. To conduct hypothesis-based problem solving, methodologies in digital signal and image processing, applied mathematics and statistics, modern control theory, high performance computing, and computer science have been integrally researched and explored.

The first project track is to research and invent knowledge-based algorithms to analyze the high volume clinical “-omics” data for disease diagnosis, prognosis, and therapeutics. The second project track is to analyze the interaction of molecules to understand the underlying metabolism, pharmacokinetics, and gene regulation in molecular biology and medicine. The third project is to analyze imaging data, and then integrate multiple types of data such as molecular imaging, 3-D organ imaging, genomics, proteomics, and metabolomics data for modeling, treatment planning, and training.

The lab research outcomes have already generated some impact in the community through (1) web-based software tool deployment, and (2) integration of clinical-oriented team research results.

Ultimately, the lab hopes to create a set of reliable and accurate computation models, and tool sets that are useful in many subfields of medicine and molecular biology, to speed up the discovery process, and to improve human health.