Sriganesh SrihariSriganesh Srihari is a Senior Research Fellow with the Institute for Molecular Bioscience at The University of Queensland, Australia. He has a background in computer science (having received a Ph.D. in 2012 from National University of Singapore) and as worked extensively on graph (network) and combinatorial algorithms and in applying these to large omics datasets in biomedicine. He has devised systems-biology models to integrate "multiomics" datasets spanning genomics, RNAseq, and proteomics (protein-protein interaction) with clinical profiles to decipher molecular-clinical associations and identify new therapeutic targets in cancers. He has published in leading journals in the field including Bioinformatics, BMC Systems Biology, Biology Direct, Molecular Biosystems, and Nucleic Acids Research. He has closely collaborated with experimental biologists and has contributed to joint publications in Oncogene (Nature Publishing), Trends in Pharmacological Sciences (Cell Press), and Molecular Oncology. His postdoctoral work on cancer network models was highlighted in International Innovation (Healthcare issue, 2014), a Research Media periodical. His recent computational approach MutExSL (Biology Direct, 2015), co-authored with Limsoon Wong, for predicting synthetic-lethal targets by mining mutually exclusive genetic alterations in cancers was presented at the San Antonio Breast Cancer Symposium 2015 (San Antonio, Texas, USA), for which he won an American Association for Cancer Research (AACR)--Susan G.Komen for the Cure(R) Scholar-in-training Award. He serves on the Editorial Board for the cancer bioinformatics theme of Scientific Reports, and is a Guest Editor for Methods. Srihari has recently moved to the South Australian Health and Medical Research Institute, Australia, as a Senior Research Scientist. He is also an Adjunct Senior Lecturer with the School of Computer Science, Engineering, and Mathematics at Flinders University, Australia. Read More Read Less