User:Marchion/sandbox

Luigi Marchionni is an Italian cancer scientist and computational biologist working as an Associate Professor at Johns Hopkins School of Medicine.

Dr. Marchionni is also co-Director of the Center for Computational Genomics (CCG) at Johns Hopkins, and an affiliate faculty of The Center for Computational Biology (CCB) at Johns Hopkins University, the Institute for Computational Medicine (ICM), and The Institute for Data Intensive Engineering and Science (IDIES) at Johns Hopkins University.

Education
Dr. Marchionni trained in Medicine at the University of Turin, Italy, and earned his Ph.D. degree in “Structural and Functional Genomics” at the International School for Advanced Studies (ISAS-SISSA), Trieste, Italy. He finally completed his training in Biostatistics with Dr. Parmigiani at Johns Hopkins, where he developed novel approaches to genomic data annotation and analysis.

Research and career
In the early phase of his career, Dr. Marchionni’s collaborated with several research institutes, including the FIRC Institute for Molecular Oncology (IFOM, Milan), the RIKEN Genome Science Laboratory (Tsukuba and Yokohama, Japan) and the National Laboratory of the Italian Interuniversity Consortium for Biotechnologies (LNCIB, Trieste). During this period, his research activities have focused on genomic sequences annotation and the development of novel methods for gene expression profiling analysis. As a member of the FANTOM Consortium, Dr. Marchionni was actively involved in the annotation of the over 180,000 transcriptional units and the development of the associated database in the framework of the FANTOM projects.

Dr. Marchionni’s current research focuses on knowledge integration across different “omics” data types, the development of novel prediction algorithms for cancer prognostication and therapy selection, and the integration of “omics-based” predictors into current cancer patients clinical management. Dr. Marchionni works in close collaboration with “wet lab” researchers, to uncovering genetic contributions to interesting cancer phenotypes. For such projects, involving machine learning applied to cancer, Dr. Marchionni work closely with world class scientist like applied mathematician Donald Geman, biostatistician Jeff Leek, and cancer geneticist Bert Vogelstein.

Notable works
A few of his highly cited works include


 * "The transcriptional landscape of the mammalian genome."


 * "Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs."


 * "Functional annotation of a full-length mouse cDNA collection."


 * "A simple and reproducible breast cancer prognostic test"


 * "Only three driver gene mutations are required for the development of lung and colorectal cancers."


 * "Digitizing omics profiles by divergence from a baseline"