Personal Information
Organização/Local de trabalho
Washington D.C. Metro Area United States
Cargo
Health Sciences Director
Setor
Government / Military
Sobre
Dr. Lee serves as a Health Sciences Director within the National Cancer Institute’s (NCI) Office of the Director where his chief responsibility is to help direct the NCI’s Center for Strategic Scientific Initiatives (CSSI). Since its inception in 2003, the Center has supported more than 2,000 trans-disciplinary projects through programs such as the Innovation Molecular Analysis Technologies (IMAT), NCI Alliance for Nanotechnology in Cancer, The Cancer Genome Atlas (TCGA), Clinical Proteomic Tumor Analysis Consortium (CPTAC), Physical Sciences-Oncology Centers (PS-OC), Provocative Questions (PQ), and Cancer Target Discovery and Development (CTD2) network. These exploratory initiatives th...
Marcadores
cancer
big data
innovation
open data
interdisciplinary
convergence
proteomics
genomics
oncology
data sharing
data science
data transparency
machine learning
Ver mais
Apresentações
(7)Personal Information
Organização/Local de trabalho
Washington D.C. Metro Area United States
Cargo
Health Sciences Director
Setor
Government / Military
Sobre
Dr. Lee serves as a Health Sciences Director within the National Cancer Institute’s (NCI) Office of the Director where his chief responsibility is to help direct the NCI’s Center for Strategic Scientific Initiatives (CSSI). Since its inception in 2003, the Center has supported more than 2,000 trans-disciplinary projects through programs such as the Innovation Molecular Analysis Technologies (IMAT), NCI Alliance for Nanotechnology in Cancer, The Cancer Genome Atlas (TCGA), Clinical Proteomic Tumor Analysis Consortium (CPTAC), Physical Sciences-Oncology Centers (PS-OC), Provocative Questions (PQ), and Cancer Target Discovery and Development (CTD2) network. These exploratory initiatives th...
Marcadores
cancer
big data
innovation
open data
interdisciplinary
convergence
proteomics
genomics
oncology
data sharing
data science
data transparency
machine learning
Ver mais