Our research focuses at MLBC are on machine learning, artificial intelligence, and bioinformatics & computational biology in general. We work on the challenges associated with the design and development of robust, general, and accurate systems for several important problems in bioinformatics and computational biology such as, protein local and global structure prediction, genome variants analysis, cancer subtype classification, and studying the impact of somatic mutations in cancer research, in specific. Our focus is on using machine learning techniques with an emphasis on deep learning architecture, support vector machines, and ensemble classifiers (homogeneous and heterogeneous).

 

If you are interested in joining our lab, please directly contact Dr. Dehzangi at: i.dehzangi@rutgers.edu