Prof. Rajeev K. Azad, PhD. has research interests in the area of Bioinformatics and Computational Biology, particularly developing and applying mathematical and statistical tools to decipher structural and functional features in genomes and elucidate their relationships in the context of evolution. He has developed novel computational methodologies for gene discovery, alien gene identification and genome comparison. Many of these methods and algorithms are based on probabilistic models that provide a rigorous theoretical framework for studying nucleotide ordering patterns within genomes and have proved powerful tools for biological sequence analysis. He has extensive training and experience in computational genomics and transcriptomics, including differential gene regulation and genome evolution.