Computational Systems Biology and Bioinformatics Lab
Lei Xie

Lei Xie, Principal Investigator

Ph.D. in Chemistry, Rutgers University - New Brunswick
M.S. in Computer Science, Rutgers University - New Brunswick
B.S. in Polymer Physics, University of Science and Technology of China

2011-,     Associate Professor, Computer Science, Hunter College, CUNY
               Ph.D program in Computer Science and Biochemistry, the Graduate Center, CUNY
2011-2012, Visiting Scientist, Skaggs School of Pharmacy and Parmaceutical Sciences, UCSD
2004-2011, Research Scientist, San Diego Supercomputer Center
2002-2004, Senior Scientist, Eidogen Inc.
2000-2002, Associate Scientist, Columbia University and Howard Hughes Medical Institute


Technology advances have generated unprecedented amounts of biomedical data. These huge, complex, heterogeneous, dynamic, and noisy data offer great opportunities for tackling unmet needs in disease prevention, diagnosis, and treatment, but impose great challenges in data management, data processing, data integration, data mining, and knowledge discovery. Our research interests are to develop novel methods in data science as well as to apply artificial intelligence to advancing biomedicine.

Our immediate aims include i) developing new machine learning algorithms for structured prediction, high-dimensional sparse data, recommender system, and data integration; ii) developing a structural systems pharmacology framework to model drug actions and genotype-phenotype associations on a multi-scale from atomic details of biomolecular interaction to clinical outcomes, and bridging structure-based drug design and systems biology to realize personalized medicine; iii) applying integrated computational and experimental techniques to polypharmacology, drug repurposing, biomarker identification, and the prediction of drug side effects with the focus on drug-resistant bacterial infections, Alzheimer's disease, and cancers.

In these directions, a brief summary of our on-going projects is described here. Our previous works are highlighted in the press releases and in our publications.