Dr. Frey works on data integration and analysis of heterogeneous clinical and bioinformatics data sets for the purpose of knowledge discovery. Novel analysis of integrated heterogeneous data provides opportunity for discovery and improved patient care through bench to bedside translational research. His efforts on data integration and analysis have been applied to interoperable biomedical informatics systems that have wide applicability across medicine in such areas as cancer, pediatric care, newborn screening and autism. He is currently working on methods for identifying robust biomarker signatures in genomic data for diagnosis and prognosis of cancer. Dr. Frey also investigates improvements in adoption, deployment, performance and interoperability through the use of open source cloned virtual grid environments. Recently he adapted and deployed an open source virtualized grid technology to securely track patient data within a multi-hospital pediatric research network. To address the growing analytic needs of clinical and genomic data, Piccolo and Frey (2012) developed an open source parallel processing analysis framework, ML-Flex, to speed processing and classification using machine learning algorithms and other open sources resources such as the R statistical language. He has extended his work related to virtualization of grid technology to Big Data approaches to medical settings coupled with data mining and forecasting technologies. Dr. Frey received a Ph.D. in computer science from Vanderbilt University and completed a post doctorial fellowship in cancer biomedical informatics at Vanderbilt School of Medicine.

Associate Professor @ From May 2014 to Present (1 year 8 months) Charleston, South Carolina AreaResearch Member @ From June 2014 to Present (1 year 7 months) Charleston, South Carolina AreaChair, 2015 Translational Bioinformatics (TBI) Scientific Program Committee @ From April 2014 to March 2015 (1 year) Assistant Professor, Department of Biomedical Informatics @ Member, Cancer Control and Population Sciences Program, Huntsman Cancer Institute * Frey has worked extensively on open source informatics including the cancer biomedical informatics grid (caBIG) for the National Cancer Institute, with interest in how it can be applied to personalized medicine. * He researches methods of combining multiple data sets and seeks to identify biomarker signatures in expression data for diagnosis and prognosis of lung, breast, and colon cancers. * He has developed virtual machines to securely share data across institutions. * Machine Learning techniques for identifying robust gene expression signatures in cancer; novel analysis techniques for genomic characterization technologies. From June 2006 to April 2014 (7 years 11 months) Graduate Research Assistant, Department of Biomedical Informatics @ Responsibilities: teaching computer science courses From 2002 to 2003 (1 year) Sr. Data Warehouse Architect @ Managed, updated and revised data architecture. We re-architected the data warehouse to position the company to be more agile in accessing data at newly acquired companies. From 1999 to 2002 (3 years) Software Engineer @ Worked with the data warehouse and developed reports. I transitioned the company from Perl to Informatica. From 1999 to 1999 (less than a year) Graduate Research Assistant, School of Engineering (Computer Science) @ Responsibilities: teaching computer science courses From 1992 to 1998 (6 years)

Post Doctoral Fellow, Biomedical Informatics & Cancer, Department of Biomedical Informatics @ Vanderbilt University From 2003 to 2006 PhD, Computer Science, School of Engineering @ Vanderbilt UniversityMS, Computer Science, School of Engineering @ Vanderbilt UniversityBS, Summa Cum Laude, Mathematics, College of Arts and Science @ University of Pittsburgh Lewis Frey is skilled in: Research, Cancer Research, Translational Research, Genomics, Healthcare, Bioinformatics, Biomedical Informatics, Informatics, Data Mining, Machine Learning, Data Analysis, Open Source Software, Data Integration, Statistics, Data Architecture