Our ultimate goal is to investigate the molecular mechanisms of chronic diseases.
We develop new computational methods to model biological processes and
mine high-dimensional, multi-modal biomedical data.
We are very interested in the effect of gene regulatory networks in disease.
News (for Laboratory's news archive click here)
- Jun 2015: Our lab is awarded $1.3M from NIH to develop causal graphical models for large, multi-modal datasets.
- May 2015: An important application paper of T-ReCS gets accepted to Clinical Epigenetics. Congratulations Grace.
- Jan 2015: Takis gave a talk on T-ReCS at the 20th
PSB 2015 conference.