Cartik Saravanamuthu holds a Ph.D. in computer engineering from the University of Memphis. His postdoctoral work has included stints in academic research as well as consulting and leadership positions with industry startups in India and in Silicon Valley, California. Saravanamuthu’s research work has been primarily in the use of Semantic Web ontologies for a) annotation and extraction of knowledge from unstructured text, b) the integration of complex, heterogeneous data from multiple sources, and c) the use of intelligent reasoning strategies to infer high-level knowledge from the integrated data. In the area of biomedical informatics, his research projects have used ontology-based data integration and reasoning to uncover novel associations between genotypic variance and phenotypic diversity. At DBMI, he uses machine learning techniques on clinical data of patients diagnosed with Phelan McDermid Syndrome, a rare syndromic variant of Autism Spectrum Disorder. Saravanamuthu works with patient self-reported outcomes data and clinical notes from electronic health records to identify patient subtypes based on phenotype profiles, refine ontological definitions of patient symptoms and conditions, and advance the knowledge about Phelan McDermid Syndrome.
American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, September 1, 2017
Scientific data, October 25, 2016
Studies in health technology and informatics, January 1, 2015
PloS one, May 20, 2010
PloS one, May 5, 2010